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However, as verified in this article, their performance degrades rapidly as the number of stuck cells increases. Thus, this paper presents a concatenation reliability scheme of LDPC codes and source codes, which aims to improve the performance of LDPC codes for flash memories with stuck cells. In this scheme, the locations of stuck cells is recorded by source codes in the write process such that erasures rather than wrong log-likelihood ratios on these cells are given in the read process. Then, LDPC codes correct these erasures and soft errors caused by cell-to-cell interferences. The analyses of channel capacity and compression rates of source codes with side information show that the memory cost of the proposed scheme is moderately low. 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Theory 1962, 8: 21-28. 10.1109\u002FTIT.1962.1057683\nRyan WE, Lin S: Channel Codes: Classical and Modern. 2009.\nFranceschini M, Ferrari G, Raheli R: Does the performance of LDPC codes depend on the channel. IEEE Trans. Commun 2006, 54(12):2129-2132.\nZhang F, Pfister H, Jiang A: LDPC codes for rank modulation in flash memories. IEEE International Symposium on Information Theory June 2010. pp. 859–863\nFossorier M, Mihaljevic M, Imai H: Reduced complexity iterative decoding of low-density parity check codes based on belief propagation. IEEE Trans. Commun 1999, 58(5):673-680.\nKuznetsov AV, Kasami T, Yamamura S: An error correcting scheme for defective memory. IEEE Trans. Inf. Theory 1978, 24(6):712-718. 10.1109\u002FTIT.1978.1055963\nProakis J: Digital Communications. 1989.\nSlepian D, Wolf JK: Noiseless coding of correlated information sources. IEEE Trans. Inf. Theory 1973, 19: 471-480. 10.1109\u002FTIT.1973.1055037\nMcEliece RJ: The Theory of Information and Coding: A Mathematical Framework for Communication. 1977.\nLiveris A, Xiong Z, Georghiades C: Compression of binary sources with side information at the decoder using LDPC codes. IEEE Commun. Lett 2002, 6(10):440-442.\nCover TM, Thomas JA: Elements of Information Theory. 1991.\nZhang X, Zhu J, Wu Y: Efficient one-pass Chase soft-decision BCH decoder for multi-level cell NAND flash memory. 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confidence partitioning sampling filter (CPSF) method proposed in this paper is a novel approach for solving the generic nonlinear filtering problem. First, the confidence probability space (CPS) is defined, which restricts the state transition in a bounded and closed state space in the recursive Bayesian filtering. In the posterior CPS, the weighted grid samples, represented the posterior PDF, are obtained by using the partitioning sampling technique (PST). Each weighted grid sample is treated as an impulse function. The approximate expression of the posterior PDF, as key for the PST implementation, is obtained by using the properties of the impulse function in the integral operation. By executing the selection of the CPS and the PST step repeatedly, the CPSF framework is formed to achieve the approximation of the recursive Bayesian filtering. Second, the difficulty of the CPSF framework implementation lies in obtaining the real posterior CPS. Therefore, the space intersection (SI) method is suggested to obtain the approximate posterior CPS. On this basis, the SI_CPSF algorithm, as an executable algorithm, is formed to solve the generic nonlinear filtering problem. Third, the approximate error between the CPSF framework and the recursive Bayesian filter is analyzed theoretically. The consistency of the CPSF framework to the recursive Bayesian filter is proved. Finally, the performances of the SI_CPSF algorithm, including robustness, accuracy and efficiency, are evaluated using four representative simulation experiments. The simulation results showed that SI_CSPF requires far less samples than particle filter (PF) under the same accuracy. Its computation is on average one order of magnitude less than that of the PF. The robustness of the proposed algorithm is also evaluated in the simulations.",{"EN":577},"Confidence partitioning sampling filtering",{"VOID":308},{"EN":580},"",{"VOID":582},"H. Kushner, Approximations to optimal nonlinear filters. IEEE Trans. Autom. Control 12(5), 546–556 (1967)\nB.D. Anderson, J.B. Moore, Optimal filtering (Prentice-Hall, Englewood Cliffs, 1979)\nS. Gultekin, J. Paisley, Nonlinear Kalman filtering with divergence minimization. IEEE Trans. Signal Process. 65(23), 6319–6331 (2017)\nS. Schlupkothen, G. Ascheid, Multiple particle filtering for tracking wireless agents via Monte Carlo likelihood approximation. EURASIP J. Adv. Signal Process. 2019(52), 1–20 (2019)\nW.R. Gilks, C. Berzuini, Following a moving target-Monte Carlo inference for dynamic Bayesian models. J. R. Statist. Soc. B 63(1), 127–146 (2001)\nR.E. Kalman, A new approach to linear filtering and prediction problems. Trans. ASME Ser. D J. Basic Eng. 82, 35–45 (1960)\nR. Dehghannasiri, M.S. Esfahani, E.R. Dougherty, Intrinsically Bayesian robust Kalman filter: an innovation process approach. IEEE Trans. Signal Process. 65(10), 2531–2546 (2017)\nR. Dehghannasiri, M.S. Esfahani, X. Qian, E.R. Dougherty, Optimal Bayesian Kalman filtering with prior update. IEEE Trans. Signal Process. 66(8), 1982–1996 (2018)\nS. Arulampalam, S. Maskell, N. Gordon, T. Clapp, A tutorial on particle filters for on-line non-linear\u002Fnon-Gaussian Bayesian tracking. IEEE Trans. Signal Process. 50(2), 174–188 (2002)\nD.S. Kalogerias, A.P. Petropulu, Grid based nonlinear filtering revisited: Recursive estimation & asymptotic optimality. IEEE Trans. Signal Process. 64(16), 4244–4259 (Aug.2016)\nT. Schon, F. Gustafsson, P. Nordlund, Marginalized particle filters for mixed linear\u002Fnonlinear state-space models. IEEE Trans. Signal Process. 53(7), 2279–2289 (2005)\nK.J. Kim, M.-O. Pun, R.A. Iltis, Joint carrier frequency offset and channel estimation for uplink MIMO-OFDMA systems using parallel Schmidt Rao-Blackwellized particle filters. IEEE Trans. Commun. 58(9), 2697–2708 (2010)\nI. Arasaratnam, S. Haykin, R.J. Elliot, Discrete-time nonlinear filtering algorithms using Gauss–Hermite quadrature. Proc. IEEE 95(5), 953–977 (May2007)\nS. Mazuelas, Y. Shen, M.Z. Win, Belief condensation filtering. IEEE Trans. Signal Process. 61(18), 4403–4415 (2013)\nS. Julier, J. Uhlmann, A new extension of the Kalman filter to nonlinear systems. Proc. SPIE 3068, 182–193 (1997)\nB. Ristic, M.S. Arulampalam, N. Gordon, Beyond the Kalman filter: particle filters for tracking applications (Artech House, Norwood, 2004)\nY.B. Shalom, X.-R. Li, T. Kirubarajan, Estimation with Applications to Tracking and Navigation (Wiley, New York, 2001)\nS.J. Julier, J.K. Uhlmann, Unscented filtering and nonlinear estimation. Proc. IEEE 92(3), 401–422 (2004)\nS.J. Julier, J.K. Ulhmann, H.F. Durrant-Whyte, A new method for the nonlinear transformation of means and covariances in filters and estimators. IEEE Trans. Autom. Control 45(3), 472–482 (2000)\nI. Arasaratnam, S. Haykin, Cubature Kalman filters. IEEE Trans. Autom. Control 54(6), 1254–1269 (2009)\nI. Arasaratnam, S. Haykin, T.R. Hurd, Cubature Kalman filtering for continuous-discrete systems: theory and simulations. IEEE Trans. Signal Process. 58(10), 4977–4993 (Oct.2010)\nG. Revach, N. Shlezinger, X. Ni, A.L. Escoriza, R.J. Van Sloun, Y.C. Eldar, KalmanNet: neural network aided Kalman filtering for partially known dynamics. IEEE Trans. Signal Process. 70, 1532–1547 (2022)\nK. Radnosrati, G. Hendeby, F. Gustafsson, Exploring Positive Noise in Estimation Theory. IEEE Trans. Signal Process. 68, 3590–3602 (2020)\nS. Mazuelas, Y. Shen, A. Pérez, Generalized maximum entropy for supervised classification. IEEE Trans. Information Theory 68(4), 2530–2550 (2022)\nA. Doucet, J. de Freitas, N. Gordon, Sequential Monte Carlo in practice (Cambridge University Press, Cambridge, 2001)\nA. Doucet, J.F.G. de Freitas, N.J. Gordon, An introduction to sequential Monte Carlo methods, in Sequential Monte Carlo Methods in Practice (Springer, New York, 2001)\nC. Andrieu, A. Doucet, Particle filtering for partially observed Gaussian state space models. J. Roy. Stat. Soc. Ser. B 64(4), 827–836 (2002)\nF. Gustafsson, F. Gunnarsson, N. Bergman, U. Forsell, J. Jansson, R. Karlsson, P.J. Nordlund, Particle filters for positioning, navigation and tracking. IEEE Trans. Signal Process. 50(2), 425–437 (2002)\nN. Gordon, D. Salmond, A. Smith, Novel approach to nonlinear\u002Fnon-Gaussian Bayesian state estimation. EEE Proc. F Radar Signal Process. 140(2), 107–113 (1993)\nO. Hlinka, F. Hlawatsch, P.M. Djuric, Distributed particle filtering in agent networks: a survey, classification, and comparison. IEEE Signal Process. Mag. 30(1), 61–81 (2013)\nA. Mohammadi, A. Asif, Distributed particle filter implementation with intermittent\u002Firregular consensus convergence. IEEE Trans. Signal Process. 61(10), 2572–2587 (2013)\nF. Daum, J. Huang, Curse of dimensionality and particle filters. Proc. IEEE Aerosp. Conf. 4, 1979–1993 (2003)\nT. Bengtsson, P. Bickel, B. Li, Curse-of-dimensionality revisited: collapse of the particle filter in very large scale systems. Probab. Stat. Essays Honor David A Freedman 2, 316–334 (2008)\nK. Chen, S. Werner, A. Kuh, Y. Huang, Nonlinear adaptive filtering with kernel set-membership approach. IEEE Trans. Signal Process. 68, 1515–1528 (2020). https:\u002F\u002Fdoi.org\u002F10.1109\u002FTSP.2020.2975370\nT. Shnitzer, R. Talmon, J. Slotine, Diffusion maps Kalman filter for a class of systems with gradient flows. IEEE Trans. Signal Process. 68, 2739–2753 (2020)\nX. Qiang, Y. Zhu, R. Xue, SVRPF: an improved particle filter for a nonlinear\u002Fnon-Gaussian environment. IEEE Access 7, 151638–151651 (2019)\nD. Berberidis, G.B. Giannakis, Data sketching for large-scale Kalman filtering. IEEE Trans. Signal Process. 65(14), 3688–3701 (2017)\nH. Yazdanpanah, M.V. Lima, P.S. Diniz, On the robustness of set-membership adaptive filtering algorithms. EURASIP J. Adv. Signal Process. 2017(1), 1–12 (2017)\nT. Li, T.P. Sattar, S. Sun, Deterministic resampling: unbiased sampling to avoid sample impoverishment in particle filters. Signal Process. 92(7), 1637–1645 (2012)\nM. Bolic, P.M. Djuric, S. Hong, Resampling algorithms and frameworks for distributed particle filters. IEEE Trans. Signal Process. 53(7), 2442–2450 (2005)\nM. Bolic, P.M. Djuric, S. Hong, Resampling algorithms for particle filters: a computational complexity perspective. EURASIP J. Appl. Signal Process. 2004(15), 2267–2277 (2004)\nT. Li, M. Bolic, P.M. Djuric, Resampling methods for particle filtering: classification implementation and strategies. IEEE Signal Process. Mag. 32(3), 70–86 (2015)\nR. Douc, O. Capp, Comparison of resampling schemes for particle filtering, in Proceedings of the 4th International Symposium Image and Signal Processing and Analysis, pp. 64–69 (2005).\nA.A. Nasir, S. Durrani, R.A. Kennedy, Particle filters for joint timing and carrier estimation: Improved resampling guidelines and weighted Bayesian Cramer-Rao bounds. IEEE Trans. Commun. 60(5), 1407–1419 (2012)\nR. Rabiee, X. Zhong, Y. Yan, W.P. Tay, LaIF: A lane-level self-positioning scheme for vehicles in GNSS-denied environments. IEEE Trans. Intell. Transp. Syst. 20(8), 2944–2961 (2019)\nR. Merwe, A. Doucet, N. Freitas, E. Wan, The unscented particle filter, Technical Report CUED\u002FF-INFENG\u002FTR 380, Engineering Department, University of Cambridge (2000).\nL. Wei, Y. Wang, P. Chen, A particle filter-based approach for vehicle trajectory reconstruction using sparse probe data. IEEE Trans. Intell. Transp. Syst. 22(5), 2878–2890 (2021)\nS.K. Pang, J.D.B. Nelson, S.J. Godsill, N. Kingsbury, Video tracking using dual-tree wavelet polar matching and Rao-Blackwellised particle filter. EURASIP J. Adv. Signal Process. 2009(1), 1–13 (2009)\nY.-F. Huang, S. Werner, J. Huang, N. Kashyap, V. Gupta, State estimation in electric power grids. IEEE Signal Process. Mag. 29(5), 33–43 (Sep.2012)\nY. Choe, J.W. Song, C.G. Park, Lightweight marginalized particle filtering with enhanced consistency for terrain referenced navigation. IEEE Trans. Aerosp. Electron. Syst. 58(3), 2493–2504 (2022)\nL. Martino, V. Elvira, Compressed Monte Carlo with application in particle filtering. Inf. Sci. 553, 331–352 (2021)\nH. J. Kushner, Numerical approximations to optimal nonlinear filters, in D. Crisan and B. Rozovski, Eds. The Oxford Handbook of Nonlinear Filtering, Oxford, ch. 28 (2011).\nG. Pagès, H. Pham, Optimal quantization methods for nonlinear filtering with discrete-time observations. Bernoulli 11(5), 893–932 (2005)\nU.A. Khan, J.M.F. Moura, Distributing the Kalman filter for large-scale systems. IEEE Trans. Signal Process. 56(10), 4919–4935 (2008)\nM.S. Mahmud, J.Z. Huang, S. Salloum, T.Z. Emara, K. Sadatdiynov, A survey of data partitioning and sampling methods to support big data analysis. Big Data Min. Anal. 3(2), 85–101 (2020)\nS. Salloum, J.Z. Huang, Y. He, Random Sample partition: a distributed data model for big data analysis. IEEE Trans. Ind. Inform. 15(11), 5846–5854 (2019)\nB. Chen, X. Liu, H. Zhao, J.C. Prncipe, Maximum correntropy Kalman filter. Automatica 76, 70–77 (2017)\nZ. Chen, Bayesian filtering: from Kalman filters to particle filters, and beyond. Statistics 182(1), 1–69 (2003)\nG. Terejanu, P. Singla, T. Singh, P.D. Scott, Adaptive Gaussian sum filter for nonlinear Bayesian estimation. IEEE Trans. Autom. 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positioning of cellular users in a mobile environment requires accurate resolving of overlapping multipath components. However, this task is difficult due to fast channel fading conditions and data ill-conditioning, which limit the performance of least-squares-based techniques. This paper develops two overlapping multipath resolving methods (adaptive and nonadaptive), and shows how the adaptive solution can be made robust to the above limitations by extracting and exploiting a priori information about the fading channel. Also the proposed techniques are extended when there are antenna arrays at the base station. Simulation results illustrate the performance of the proposed techniques.",{"EN":984},"Adaptive Subchip Multipath Resolving for Wireless Location Systems",{"VOID":986},"[\"3058225328465621702\"]",{"VOID":988},"FCC Docket no. 94–102 : Revision of the commission's rules to ensure compatibility with enhanced 911 emergency calling. Tech. Rep. RM-8143 July 1996.\nCaffery JJ, Stuber GL: Overview of radiolocation in CDMA cellular systems. IEEE Communications Magazine 1998, 36(4):38–45. 10.1109\u002F35.667411\nO'Connor J, Alexander B, Schorman E: CDMA infrastructure-based location finding for E911. Proceedings of 49th IEEE Vehicular Technology Conference (VTC '99), May 1999, Houston, Tex, USA 3: 1973–1978.\nFischer S, Koorapaty H, Larsson E, Kangas A: System performance evaluation of mobile positioning methods. Proceedings of 49th IEEE Vehicular Technology Conference (VTC '99), May 1999, Houston, Tex, USA 3: 1962–1966.\nTekinay S, Chao E, Richton R: Performance benchmarking for wireless location systems. IEEE Communications Magazine 1998, 36(4):72–76. 10.1109\u002F35.667416\nCaffery JJ, Stuber GL: Radio location in urban CDMA microcells. Proceedings of 6th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC '95), September 1995, Toronto, Ontario, Canada 2: 858–862.\nGhosh A, Love R: Mobile station location in a DS-CDMA system. Proceedings 48th IEEE Vehicular Technology Conference (VTC '98), May 1998, Ottawa, Ontario, Canada 1: 254–258.\nDrane C, Macnaughtan M, Scott C: Positioning GSM telephones. IEEE Communications Magazine 1998, 36(4):46–54. 10.1109\u002F35.667413\nThomas NJ, Cruickshank DGM: A passive mobile location system for UMTS. Proceedings of IEE Colloquium on UMTS Terminals and Software Radio, April 1999, Glasgow, UK 10\u002F1–10\u002F6.\nSakagami S, Aoyama S, Kuboi K, Shirota S, Akeyama A: Vehicle position estimates by multibeam antennas in multipath environments. IEEE Transactions on Vehicular Technology 1992, 41(1):63–68. 10.1109\u002F25.120146\nZagami JM, Parl SA, Bussgang JJ, Melillo KD: Providing universal location services using a wireless E911 location network. IEEE Communications Magazine 1998, 36(4):66–71. 10.1109\u002F35.667415\nRappaport TS, Reed JH, Woerner BD: Position location using wireless communications on highways of the future. IEEE Communications Magazine 1996, 34(10):33–41. 10.1109\u002F35.544321\nStilp LA: Carrier and end-user applications for wireless location systems. Wireless Technologies and Services for Cellular and Personal Communication Services, October 1995, Philadelphia, Pa, USA, Proceedings of the SPIE 2602: 119–126.\nPaton IJ, Crompton EW, Gardiner JG, Noras JM: Terminal self-location in mobile radio systems. Proceedings of 6th International Conference on Mobile Radio and Personal Communications, December 1991, Coventry, UK 1: 203–207.\nGiordano A, Chan M, Habal H: A novel location-based service and architecture. Proceedings of 6th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC '95), September 1995, Toronto, Ontario, Canada 2: 853–857.\nYousef NR, Sayed AH, Khajehnouri N: Detection of fading overlapping multipath components. to appear in Signal Processing\nSayed AH, Tarighat A, Khajehnouri N: Network-based wireless location: challenges faced in developing techniques for accurate wireless location information. IEEE Signal Processing Magazine 2005, 22(4):24–40.\nCaffery JJ, Stuber GL: Vehicle location and tracking for IVHS in CDMA microcells. Proceedings of 5th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC '94), September 1994, The Hague, The Netherlands 4: 1227–1231.\nKostic Z, Sezan IM, Titlebaum EL: Estimation of the parameters of a multipath channel using set-theoretic deconvolution. IEEE Transactions on Communications 1992, 40(6):1006–1011. 10.1109\u002F26.142791\nManickam TG, Vaccaro RJ: A non-iterative deconvolution method for estimating multipath channel responses. Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '93), April 1993, Minneapolis, Minn, USA 1: 333–336.\nRappaport TS: Wireless Communications: Principles & Practice. Prentice-Hall, Upper Saddle River, NJ, USA; 1996.\nGlisic S, Vucetic B: Spread Spectrum CDMA Systems for Wireless Communications. Artech House, Boston, Mass, USA; 1997.\nYousef NR, Sayed AH: A new adaptive estimation algorithm for wireless location finding systems. Proceedings of 33rd Asilomar Conference on Signals, Systems, and Computers (ACSSC '99), October 1999, Pacific Grove, Calif, USA 1: 491–495.\nYousef NR, Sayed AH: Adaptive multipath resolving for wireless location systems. Proceedings of 35th Asilomar Conference on Signals, Systems and Computers (ACSSC '01), November 2001, Pacific Grove, Calif, USA 2: 1507–1511.\nJakobsson A, Swindlehurst AL, Stoica P: Subspace-based estimation of time delays and Doppler shifts. IEEE Transactions on Signal Processing 1998, 46(9):2472–2483. 10.1109\u002F78.709535\nYousef NR, Sayed AH: Detection of fading overlapping multipath components for mobile-positioning systems. Proceedings of IEEE International Conference on Communications (ICC '01), June 2001, Helsinki, Finland 10: 3102–3106.\nYousef NR, Sayed AH: Robust multipath resolving in fading conditions for mobile-positioning systems. Proceedings of 17th National Radio Science Conference (NRSC '00), February 2000, Minufiya, Egypt 1(C19):1–8.",{"VOID":990},"10.1155\u002FASP\u002F2006\u002F25431","2024-06-25T00:10:33.854+00:00","https:\u002F\u002Fasp-eurasipjournals.springeropen.com\u002Farticles\u002F10.1155\u002FASP\u002F2006\u002F25431",[994,1018,1033],{"id":995,"sortIndex":19,"researcher":18,"roles":996,"affiliations":997,"properties":1015,"displayName":1017,"givenName":18,"familyName":18},"d366c674-e278-4b60-9693-305efbbaeab0",[317],[998,1006],{"id":999,"sortIndex":19,"affiliation":1000,"properties":18},"1eeca595-f3d2-45b1-a874-fa782657e81d",{"id":999,"createTime":18,"updateTime":18,"relativeEntities":1001,"slug":18,"properties":1002,"entityType":18,"verifyStatus":18,"verifyTime":18,"verifyNote":18,"languages":18,"translateLanguages":18,"viewCount":18,"url":18,"parentIds":1005,"statistic":18},[],{"title":1003},{"VI":1004},"Electrical Engineering Department, University of California, Los Angeles, 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communication is regarded as a major innovative feature for in-car technology. While improving road safety is unanimously considered the major driving factor for the deployment of Intelligent Vehicle Safety Systems, the challenges relating to reliable multi-hop broadcasting are exigent in vehicular networking. In fact, safety applications must rely on very accurate and up-to-date information about the surrounding environment, which in turn requires the use of accurate positioning systems and smart communication protocols for exchanging information. Communications protocols for VANETs must guarantee fast and reliable delivery of information to all vehicles in the neighbourhood, where the wireless communication medium is shared and highly unreliable with limited bandwidth. In this paper, we focus on mechanisms that improve the reliability of broadcasting protocols, where the emphasis is on satisfying the delay requirements for safety applications. We present the Pseudoacknowledgments (PACKs) scheme and compare this with existing methods over varying vehicle densities in an urban scenario using the network simulator OPNET.",{"EN":1116},"Reliable Delay Constrained Multihop Broadcasting in VANETs",{"VOID":1118},"[\"7764595272051563574\"]",{"VOID":1120},"Intelligent Transportation Systems Standards Fact Sheet IEEE 1609—Family of Standards for Wireless Access in Vehicular Environments (WAVE), ITS Standards Program\nhttp:\u002F\u002Feuropa.eu\u002Flegislation_summaries\u002Ftransport\nhttp:\u002F\u002Fec.europa.eu\u002Finformation_society\u002Feeurope\u002F2005\u002Findex_en.htm\nChen W, Guha RK, Kwon TJ, Lee J, Hsu IY: A survey and challenges in routing and data dissemination in vehicular ad-hoc networks. Proceedings of the IEEE International Conference on Vehicular Electronics and Safety, September 2008, Columbus, Ohio, USA 328-333.\nTorrent-Moreno M, Jiang D, Hartenstein H: Broadcast reception rates and effects of priority access in 802.11-based vehicular ad-hoc networks. Proceedings of the 1st ACM International Workshop on Vehicular Ad Hoc Networks (VANET '04), 2004, Philadelphia, Pa, USA 10-18.\nKorkmaz G, Ekici E, Ozguner F, Ozguner U: Urban multiHop broadcast protocol. Proceedings of the 1st ACM International Workshop on Vehicular Ad Hoc Networks, 2004, Philadelphia, Pa, USA 76-85.\nSun M, Feng W, Lai T, Yamada K, Okada H, Fujimura K: GPS-based message broadcasting for inter-vehicle communication. Proceedings of the International Conference on Parallel Processing, 2000, Toronto, Canada 279-286.\nHeissenbuttel M, Braun T, Walchli M, Bernoulli T: Optimized stateless broadcasting in wireless multi-hop networks. Proceedings of the 25th IEEE International Conference on Computer Communications (INFOCOM '06), April 2006, Barcelona, Spain 1-12.\nSi W, Li C: RMAC: a reliable multicast MAC protocol for wireless ad hoc networks. Proceedings of the International Conference on Parallel Processing (ICPP '04), August 2004 494-501.\nhttp:\u002F\u002Fwww.opnet.com\nPeng J: Slim ARQ for reliable broadcasting in wireless LANs. Proceedings of the IEEE Wireless Communications and Networking Conference (WCNC '08), 2008 2164-2169.\nSheu S-T, Tsai Y, Chen J: A highly reliable broadcast scheme for IEEE 802.11 multi-hop ad hoc networks. Proceedings of the IEEE International Conference on Communications (ICC '02), 2002, New York, NY, USA 1: 610-615.\nTang K, Gerla M: Random access MAC for efficient broadcast support in ad hoc networks. Proceedings of the IEEE Wireless Communications and Networking Conference (WCNC '00), 2000, Los Angeles, Calif, USA 454-459.\nhttp:\u002F\u002Fwww.ietf.org\u002Frfc\u002Frfc3626.txt\nHassanzadeh F: Reliable broadcast of safety messages in vehicular ad hoc networks, M.S. thesis. Graduate Department of Electrical and Computer Engineering University of Toronto, Toronto, Canada; 2008.\nBorgonovo F, Capone A, Cesana M, Fratta L: RR-ALOHA, a Reliable R-ALOHA broadcast channel for ad-hoc inter-vehicle communication networks. 2002, ftp:\u002F\u002Fftp.elet.polimi.it\u002Fusers\u002FFlaminio.Borgonovo\u002FPUBBC\u002F2002medhoc.pdf\nhttp:\u002F\u002Fwww.cartalk2000.net\nXu Q, Mak T, Ko J, Sengupta R: Medium access control protocol design for vehicle—vehicle safety messages. IEEE Transactions on Vehicular Technology 2007, 56(2):499-518.\nXu Q, Senguptay R, Mak T, Ko J: Vehicle-to-vehicle safety messaging in DSRC. Proceedings of the 1st ACM International Workshop on Vehicular Ad Hoc Networks, 2004 19-28.\nFarnoud F, Valaee S: Repetition-based broadcast in vehicular ad hoc networks in Rician channel with capture. Proceedings of the 27th Conference on Computer Communications (INFOCOM '08), 2008 1-6.\nYang L, Guo J, Wu Y: Channel adaptive one hop broadcasting for VANETs. Proceedings of the 11th IEEE Conference on Intelligent Transportation Systems (ITSC '08), 2008, Beijing, China 369-374.\nTorrent-Moreno M, Santi P, Hartenstein H: Distributed fair transmit power adjustment for vehicular ad hoc networks. Proceedings of the 3rd Annual IEEE Communications Society on Sensor and Ad Hoc Communications and Networks (Secon '06), 2006, Reston, Va, USA 2: 479-488.\nKoubek M, Rea S, Pesch D: Effective emergency messaging in WAVE based VANETs. Proceedings of the 1st International Conference on Wireless Access in Vehicular Environments (WAVE '08), December 2008\nhttp:\u002F\u002Fwww.ietf.org\u002Frfc\u002Frfc3561.txt\nTonguz O, Wisitpongphan N, Bai F, Mudalige P, Sadekar V: Broadcasting in VANET. Proceedings of the Mobile Networking for Vehicular Environments (MOVE '07), May 2007 7-12.\n802.11e-2005, IEEE Standard for Information technology—telecommunications and information exchange between systems—local and metropolitan area networks—specific requirements—part 11: Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) specifications Amendment 8: Medium Access Control (MAC) Quality of Service Enhancements 2005.\nMittag J, Thomas F, Härri J, Hartenstein H: A comparison of single- and multi-hop beaconing in VANETs. Proceedings of the 6th ACM International Workshop on Vehicular Inter-Networking (VANET '09), 2009 69-78.\nCrowther W, Rettberg R, Waldem D, Ornstein S, Heart F: A system for broadcast communications: reservation ALOHA. Proceedings of the 6th Hawaii International Conference on System Sciences, January 1973\nBrickley O, Koubek M, Rea S, Pesch D: A network centric simulation environment for CALM-based cooperative vehicular systems. Proceedings of the 3rd International Conference on Simulation Tools and Techniques (SIMUTools '10), 2010\nhttp:\u002F\u002Fsumo.sourceforge.net\nGreen M: \"How long does it take to stop?\" Methodological analysis of driver perception-brake times. Transportation Human Factors 2000, 2(3):195-216. 10.1207\u002FSTHF0203_1",{"VOID":1122},"10.1155\u002F2010\u002F753256","2024-06-24T07:27:32.787+00:00","https:\u002F\u002Fasp-eurasipjournals.springeropen.com\u002Farticles\u002F10.1155\u002F2010\u002F753256",[1126,1141,1156],{"id":1127,"sortIndex":19,"researcher":18,"roles":1128,"affiliations":1129,"properties":1138,"displayName":1140,"givenName":18,"familyName":18},"e92a3ecd-7c2c-4063-901c-78a2fd04ed2d",[317],[1130],{"id":1131,"sortIndex":19,"affiliation":1132,"properties":18},"649facd0-8d85-4726-a8fb-ea6efa747e9d",{"id":1131,"createTime":18,"updateTime":18,"relativeEntities":1133,"slug":18,"properties":1134,"entityType":18,"verifyStatus":18,"verifyTime":18,"verifyNote":18,"languages":18,"translateLanguages":18,"viewCount":18,"url":18,"parentIds":1137,"statistic":18},[],{"title":1135},{"VI":1136},"NIMBUS Centre for Embedded Systems Research, Cork Institute of Technology, Cork, Ireland",[],{"title":1139},{"VI":1140},"Martin 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address a new approach to solve the ill-posed nonlinear inverse problem of high-resolution numerical reconstruction of the spatial spectrum pattern (SSP) of the backscattered wavefield sources distributed over the remotely sensed scene. An array or synthesized array radar (SAR) that employs digital data signal processing is considered. By exploiting the idea of combining the statistical minimum risk estimation paradigm with numerical descriptive regularization techniques, we address a new fused statistical descriptive regularization (SDR) strategy for enhanced radar imaging. Pursuing such an approach, we establish a family of the SDR-related SSP estimators, that encompass a manifold of existing beamforming techniques ranging from traditional matched filter to robust and adaptive spatial filtering, and minimum variance methods.",{"EN":1243},"From Matched Spatial Filtering towards the Fused Statistical Descriptive Regularization Method for Enhanced Radar Imaging",{"VOID":1245},"[\"14899124530560892739\"]",{"VOID":1247},"10.1155\u002FASP\u002F2006\u002F39657","2024-05-01T13:38:16.486+00:00","https:\u002F\u002Fasp-eurasipjournals.springeropen.com\u002Farticles\u002F10.1155\u002FASP\u002F2006\u002F39657",[1251],{"id":1252,"sortIndex":19,"researcher":18,"roles":1253,"affiliations":1254,"properties":1263,"displayName":1265,"givenName":18,"familyName":18},"48b1a016-ec0b-4da7-8967-ba577c17b509",[317],[1255],{"id":1256,"sortIndex":19,"affiliation":1257,"properties":18},"ccb2da25-3dcd-44cf-90c1-211e3e6b9045",{"id":1256,"createTime":18,"updateTime":18,"relativeEntities":1258,"slug":18,"properties":1259,"entityType":18,"verifyStatus":18,"verifyTime":18,"verifyNote":18,"languages":18,"translateLanguages":18,"viewCount":18,"url":18,"parentIds":1262,"statistic":18},[],{"title":1260},{"VI":1261},"CINVESTAV, Unidad Guadalajara, Guadalajara, Mexico",[],{"title":1264},{"VI":1265},"Yuriy Shkvarko",{"url":1249,"publisher":1267,"properties":1316},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":1268,"slug":10,"properties":1269,"entityType":16,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"languages":18,"translateLanguages":18,"viewCount":19,"subjectFields":1272,"manageAffiliations":1285,"indexDatabases":1296,"url":91,"thumbnailPath":18,"statistic":1311,"gsStatistic":18,"type":102,"analyzePriority":18},[],{"issn":1270,"title":1271},{"VOID":13},{"EN":15},[1273,1277,1281],{"id":22,"createTime":18,"updateTime":18,"relativeEntities":1274,"label":1275,"description":1276,"parentId":18,"standard":18,"scholarHubFieldId":18},[],{"EN":25},{},{"id":28,"createTime":18,"updateTime":18,"relativeEntities":1278,"label":1279,"description":1280,"parentId":18,"standard":18,"scholarHubFieldId":18},[],{"EN":31},{},{"id":34,"createTime":18,"updateTime":18,"relativeEntities":1282,"label":1283,"description":1284,"parentId":18,"standard":18,"scholarHubFieldId":18},[],{"EN":37},{},[1286,1291],{"id":41,"createTime":18,"updateTime":18,"relativeEntities":1287,"slug":18,"properties":1288,"entityType":18,"verifyStatus":18,"verifyTime":18,"verifyNote":18,"languages":18,"translateLanguages":18,"viewCount":18,"url":18,"parentIds":1290,"statistic":18},[],{"title":1289},{"EN":45},[],{"id":48,"createTime":18,"updateTime":18,"relativeEntities":1292,"slug":18,"properties":1293,"entityType":18,"verifyStatus":18,"verifyTime":18,"verifyNote":18,"languages":18,"translateLanguages":18,"viewCount":18,"url":18,"parentIds":1295,"statistic":18},[],{"title":1294},{"EN":52},[],[1297,1304],{"id":56,"indexDatabase":1298,"url":69,"indexYears":18,"academicFieldIds":1303,"indexDatabaseRanking":18},{"id":58,"createTime":18,"updateTime":18,"relativeEntities":1299,"label":1300,"description":1301,"key":65,"publicationTags":1302,"standard":18},[],{"EN":61,"VI":61},{"EN":63,"VI":64},[67,68],[71],{"id":73,"indexDatabase":1305,"url":84,"indexYears":85,"academicFieldIds":1310,"indexDatabaseRanking":90},{"id":75,"createTime":18,"updateTime":18,"relativeEntities":1306,"label":1307,"description":1308,"key":81,"publicationTags":1309,"standard":18},[],{"EN":78,"VI":78},{"EN":78,"VI":80},[83],[87,88,89],{"impactFactor":19,"impactFactorByYear":1312,"i10Index":19,"i10IndexLast5Year":19,"totalPublication":94,"totalPublicationByYear":1313,"totalCitation":19,"totalCitationByYear":1314,"totalCitationPerPublication":19,"totalCitationPerPublicationByYear":1315,"hindexLast5Year":19,"hindex":19},{},{"2002":96,"2004":96,"2005":97,"2006":98,"2007":98,"2009":96,"2010":98,"2011":96,"2012":98,"2013":99,"2016":99,"2022":99,"2023":96,"2024":96},{},{},{"pages":1317,"volume":1319},{"VOID":1318},"1-9",{"VOID":1100},{"total":94,"publishYear":1102,"statisticByYear":1321},{"2008":98,"2009":1322,"2010":97,"2011":97,"2012":98,"2013":98,"2014":96,"2020":96,"2023":96,"2024":96,"2025":96},6,"2026-07-24T09:29:15.913+00:00",[67],[1326,1329,1335,1338,1344,1347,1350,1353,1359,1362,1368,1371,1374,1380,1386,1389,1392],{"id":18,"text":1327,"url":18,"identifiers":1328},"Haykin S, Steinhardt A (Eds): Adaptive Radar Detection and Estimation. John Wiley & Sons, New York, NY, USA; 1992.",{},{"id":1330,"text":1331,"url":1332,"identifiers":1333},"4c68646b-0035-4279-8000-0006b275d4fa","Henderson FM, Lewis AJ (Eds): Principles and Applications of Imaging Radar: Manual of Remote Sensing. Volume 2. 3d edition. John Wiley & Sons, New York, NY, USA; 1998.","https:\u002F\u002Flink.springer.com\u002F10.1007\u002Fs10440-022-00541-7",{"doi":1334},"10.1007\u002Fs10440-022-00541-7",{"id":1330,"text":1336,"url":1332,"identifiers":1337},"Shkvarko Y, Leyva-Montiel JL: Theoretical aspects of array radar imaging via fusing the experiment design and regularization techniques. Proceedings of the 2nd IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM '02), August 2002, Rosslyn, Va, USA 115–119. CD ROM",{"doi":1334},{"id":1339,"text":1340,"url":1341,"identifiers":1342},"5f5fd844-101d-496a-a1e0-416dd246bd89","Shkvarko Y: Estimation of wavefield power distribution in the remotely sensed environment: Bayesian maximum entropy approach. IEEE Transactions on Signal Processing 2002, 50(9):2333–2346. 10.1109\u002FTSP.2002.801916","https:\u002F\u002Fieeexplore.ieee.org\u002Fabstract\u002Fdocument\u002F1025594\u002F",{"doi":1343},"10.1109\u002FTSP.2002.801916",{"id":1330,"text":1345,"url":1332,"identifiers":1346},"Stoica P, Moses R: Introduction to Spectral Analysis. Prentice-Hall, Upper Saddle River, NJ, USA; 1997.",{"doi":1334},{"id":1330,"text":1348,"url":1332,"identifiers":1349},"Starck JL, Murtagh F, Bijaoui A: Image Processing and Data Analysis. The Multiscale Approach. Cambridge University Press, Cambridge, UK; 1998.",{"doi":1334},{"id":18,"text":1351,"url":18,"identifiers":1352},"Mahafza BR: Radar Systems Analysis and Design Using MATLAB. CRC Press, Boca Raton, Fla, USA; 2000.",{},{"id":1354,"text":1355,"url":1356,"identifiers":1357},"947b8039-202f-4264-80a6-867cb73af79d","Kang MG, Katsaggelos AK: General choice of the regularization functional in regularized image restoration. IEEE Transactios on Image Processing 1995, 4(5):594–602. 10.1109\u002F83.382494","http:\u002F\u002Fieeexplore.ieee.org\u002Fdocument\u002F382494\u002F",{"doi":1358},"10.1109\u002F83.382494",{"id":1330,"text":1360,"url":1332,"identifiers":1361},"Astola J, Kuosmanen P: Fundamentals of Nonlinear Digital Filtering. CRC Press, Boca Raton, Fla, USA; 1997.",{"doi":1334},{"id":1363,"text":1364,"url":1365,"identifiers":1366},"85db6550-7df9-4b63-a788-73397bfdd7ee","Mesarovic VZ, Galatsanos NP, Katsaggelos AK: Regularized constrained total least squares image restoration. IEEE Transactions on Image Processing 1995, 4(8):1096–1108. 10.1109\u002F83.403444","http:\u002F\u002Fieeexplore.ieee.org\u002Fdocument\u002F403444\u002F",{"doi":1367},"10.1109\u002F83.403444",{"id":18,"text":1369,"url":18,"identifiers":1370},"Puetter RC: Information, language, and pixon-based image reconstruction. Digital Image Recovery and Synthesis III, August 1996, Denver, Colo, USA, Proceedings of SPIE 2827: 12–31.",{},{"id":18,"text":1372,"url":18,"identifiers":1373},"Doerry AW, Dickey FM, Romero LA, DeLaurentis JM: Difficulties in superresolving synthetic aperture radar images. Algorithms for Synthetic Aperture Radar Imagery IX, April 2002, Orlando, Fla, USA, Proceedings of SPIE 4727: 122–133.",{},{"id":1375,"text":1376,"url":1377,"identifiers":1378},"78e2100a-d31c-4e98-a97a-30f8f91112f9","Bell DC, Narayanan RM: Theoretical aspects of radar imaging using stochastic waveforms. IEEE Transactions on Signal Processing 2001, 49(2):394–400. 10.1109\u002F78.902122","http:\u002F\u002Fieeexplore.ieee.org\u002Fdocument\u002F902122\u002F",{"doi":1379},"10.1109\u002F78.902122",{"id":1381,"text":1382,"url":1383,"identifiers":1384},"102c53e2-93b2-4a21-a937-2e577792f62b","Shkvarko Y, Shmaliy YS, Jaime-Rivas R, Torres-Cisneros M: System fusion in passive sensing using a modified hopfield network. Journal of the Franklin Institute 2001, 338(4):405–427. 10.1016\u002FS0016-0032(00)00084-3","https:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002FS0016003200000843",{"doi":1385},"10.1016\u002Fs0016-0032(00)00084-3",{"id":1330,"text":1387,"url":1332,"identifiers":1388},"Shkvarko Y: Unifying regularization and Bayesian estimation methods for enhanced imaging with remotely sensed data—part I: theory. IEEE Transactions on Geoscience and Remote Sensing 2004, 42(5):923–931.",{"doi":1334},{"id":1330,"text":1390,"url":1332,"identifiers":1391},"Shkvarko Y: Unifying regularization and Bayesian estimation methods for enhanced imaging with remotely sensed data—part II: implementation and performance issues. IEEE Transactions on Geoscience and Remote Sensing 2004, 42(5):932–940.",{"doi":1334},{"id":1330,"text":1393,"url":1332,"identifiers":1394},"Shkvarko Y, Villalon-Turrubiates IE: Intelligent processing of remote sensing imagery for decision support in environmental resource management: a neural computing paradigm. Proceedings of Information Resource Management Association International Conference (IRMA '05), May 2005, San Diego, Calif, USA CD ROM",{"doi":1334},{"id":1396,"createTime":1397,"updateTime":1398,"relativeEntities":1399,"slug":1400,"properties":1401,"entityType":124,"verifyStatus":125,"verifyTime":1410,"verifyNote":127,"languages":18,"translateLanguages":18,"viewCount":19,"primaryUrl":1411,"fullTextUrl":18,"authors":1412,"publicationType":172,"publisherRelationship":1456,"citationCount":229,"citationInfo":1510,"publishDate":1513,"publishYear":1511,"citationAnalyzeStatus":17,"lastCitationAnalyze":1514,"indexDatabases":1515,"openAccess":18,"references":1516,"isForceReanalyzing":295},"629d5b7e-cbcb-4dc8-8002-99a6b7eb74d2","2023-12-23T06:12:57.275+00:00","2026-07-23T03:49:01.498+00:00",[],"A-splitting-algorithm-for-a-novel-regularization-of-Perona-Malik-and-application-to-image-restoration",{"abstract":1402,"title":1404,"gsPaper":1406,"doi":1408},{"EN":1403},"In this paper, we focus on a numerical method of a problem called the Perona-Malik inequality which we use for image denoising. This model is obtained as the limit of the Perona-Malik model and the p-Laplacian operator with p→∞. In Atlas et al., (Nonlinear Anal. Real World Appl 18:57–68, 2014), the authors have proved the existence and uniqueness of the solution of the proposed model. However, in their work, they used the explicit numerical scheme for approximated problem which is strongly dependent to the parameter p. To overcome this, we use in this work an efficient algorithm which is a combination of the classical additive operator splitting and a nonlinear relaxation algorithm. At last, we have presented the experimental results in image filtering show, which demonstrate the efficiency and effectiveness of our algorithm and finally, we have compared it with the previous scheme presented in Atlas et al., (Nonlinear Anal. Real World Appl 18:57–68, 2014).",{"EN":1405},"A splitting algorithm for a novel regularization of Perona-Malik and application to image restoration",{"VOID":1407},"[\"9672588278518918143\"]",{"VOID":1409},"10.1186\u002Fs13634-017-0484-x","2024-04-30T03:16:48.945+00:00","https:\u002F\u002Fasp-eurasipjournals.springeropen.com\u002Farticles\u002F10.1186\u002Fs13634-017-0484-x",[1413,1430,1443],{"id":1414,"sortIndex":19,"researcher":18,"roles":1415,"affiliations":1416,"properties":1425,"displayName":1427,"givenName":18,"familyName":18},"bef6a303-71d4-4cbb-893f-47fdc9e54831",[317],[1417],{"id":1418,"sortIndex":19,"affiliation":1419,"properties":18},"72256001-4bed-413f-b52b-fb388505aa6f",{"id":1418,"createTime":18,"updateTime":18,"relativeEntities":1420,"slug":18,"properties":1421,"entityType":18,"verifyStatus":18,"verifyTime":18,"verifyNote":18,"languages":18,"translateLanguages":18,"viewCount":18,"url":18,"parentIds":1424,"statistic":18},[],{"title":1422},{"VI":1423},"Université Cadi 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Arian, N Manjari, B Richard, Anisotropic nonlocal means denoising. Appl. Comput. Harmon. Anal. 35:, 452–482 (2013).","https:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002FS1063520312001583",{"doi":1522},"10.1016\u002Fj.acha.2012.11.003",{"id":1330,"text":1524,"url":1332,"identifiers":1525},"P Perona, J Malik, Scale-space and edge detection using anisotropic diffusion. IEEE Trans. Pattern Anal. Mach. Intell. 12(7), 629–639 (1990).",{"doi":1334},{"id":1527,"text":1528,"url":1529,"identifiers":1530},"d223b9d4-657b-468a-add4-3442957094ab","Y Wang, W Ren, H Wang, Anisotropic second and fourth order diffusion models based on convolutional virtual electric field for image denoising. Comput. Math. Appl. 66:, 1729–1742 (2013).","https:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002FS0898122113005415",{"doi":1531},"10.1016\u002Fj.camwa.2013.08.034",{"id":1330,"text":1533,"url":1332,"identifiers":1534},"Y Chen, S Levin, M Rao, Variable exponent, linear growth functionals in image restoration. SIAM J. Appl. Math. 66(4), 1383–1406 (2006).",{"doi":1334},{"id":1536,"text":1537,"url":1538,"identifiers":1539},"dd893693-03d7-491f-a402-918f3ef25a4d","R Aboulaich, D Meskine, A Souissi, New diffusion models in image processing. Comput. Math. Appl. 56(4), 874–882 (2008).","https:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002FS0898122108000886",{"doi":1540},"10.1016\u002Fj.camwa.2008.01.017",{"id":1330,"text":1542,"url":1332,"identifiers":1543},"L Afraites, A Atlas, F Karami, D Meskine, Some class of parabolic systems applied to image processing. Discrete Contin. Dyn. Syst. Ser B 21. 6:, 1671–1687 (2016).",{"doi":1334},{"id":1330,"text":1545,"url":1332,"identifiers":1546},"P Guidotti, J Lambers, Two new nonlinear nonlocal diffusions for noise reduction. J. Math. Imaging Vis. 33(1), 25–37 (2009).",{"doi":1334},{"id":1330,"text":1548,"url":1332,"identifiers":1549},"X Liu, L Huang, A new nonlocal total variation regularization algorithm for image denoising. Math. Comput. Simul. 97:, 224–233 (2014).",{"doi":1334},{"id":1551,"text":1552,"url":1553,"identifiers":1554},"ff5456de-aa19-439b-910f-40ff5effbd65","L Rudin, S Osher, E Fatemi, Nonlinear total variation based noise removal algorithms. Physica D. 60:, 259–268 (1992).","https:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002F016727899290242F",{"doi":1555},"10.1016\u002F0167-2789(92)90242-f",{"id":1557,"text":1558,"url":1559,"identifiers":1560},"5a431ca7-b130-4508-9b88-c394ee3b4b6b","O Seungmi, W Hyenkyun, Y Sangwoon, K Myungjoo, Non-convex hybrid total variation for image denoising. J. Vis. Commun. Image R. 24:, 332–344 (2013).","https:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002FS1047320313000114",{"doi":1561},"10.1016\u002Fj.jvcir.2013.01.010",{"id":1330,"text":1563,"url":1332,"identifiers":1564},"L Shao, R Yan, X Li, Y Liu, From heuristic optimization to dictionary learning: a review and comprehensive comparison of image denoising algorithms. IEEE Trans. Cybernet. 44:, 177–189 (2014).",{"doi":1334},{"id":1330,"text":1566,"url":1332,"identifiers":1567},"M Elad, On the origin of the bilateral filter and ways to improve it. IEEE Trans. Image Process. 11:, 1141–1151 (2002).",{"doi":1334},{"id":1330,"text":1569,"url":1332,"identifiers":1570},"R Yan, L Shao, L Liu, Y Liu, Natural image denoising using evolved local adaptive filters. Signal Process. 103:, 36–44 (2014).",{"doi":1334},{"id":1330,"text":1572,"url":1332,"identifiers":1573},"SG Chang, B Yu, M Vetterli, Adaptive wavelet thresholding for image denoising and compression. IEEE Trans. Image Process. 9:, 1532–1546 (2000).",{"doi":1334},{"id":1330,"text":1575,"url":1332,"identifiers":1576},"R Yan, L Shao, Y Liu, Nonlocal hierarchical dictionary learning using wavelets for image denoising. IEEE Trans. Image Process. 22:, 4689–4698 (2013).",{"doi":1334},{"id":1330,"text":1578,"url":1332,"identifiers":1579},"S Kichenassamy, The Perona-Malik paradox. SIAM J. Appl. Math. 75(5), 1328–1342 (1997).",{"doi":1334},{"id":1330,"text":1581,"url":1332,"identifiers":1582},"F Catte, P Lions, JM Morel, T Coll, Image selective smooting and edge detection by nonlinear diffusion. SIAM J. Numer. Anal. 29(1), 182–193 (1992).",{"doi":1334},{"id":1330,"text":1584,"url":1332,"identifiers":1585},"G Aubert, P Kornprobst, Mathematical problems in image processing. Partial differential equations and the calculus of variations. Second edition, vol. 147 (With a foreword by Olivier Faugeras. Applied Mathematical Sciences, 147. Springer, New York, 2006).",{"doi":1334},{"id":1330,"text":1587,"url":1332,"identifiers":1588},"H Amann, Time-delayed Perona-Malik type problems. Acta Math. Univ. Comenian. 76(1), 15–38 (2007).",{"doi":1334},{"id":1330,"text":1590,"url":1332,"identifiers":1591},"P Guidotti, A backward-forward regularization of the Perona-Malik equation. J. Diff. Equat.252:, 3226–3244 (2012).",{"doi":1334},{"id":1330,"text":1593,"url":1332,"identifiers":1594},"P Guidotti, Y Kim, J Lambers, Image restoration with a new class of forward-backward-forward diffusion equations of Perona-Malik type with applications to satellite image enhancement. SIAM J. Imaging Sci. 6(3), 1416–1444 (2013).",{"doi":1334},{"id":1330,"text":1596,"url":1332,"identifiers":1597},"A Atlas, F Karami, D Meskine, The Perona-Malik inequality and application to image denoising. Nonlinear Anal. Real World Appl. 18:, 57–68 (2014).",{"doi":1334},{"id":18,"text":1599,"url":18,"identifiers":1600},"RI McLachlan, G Reinout, W Quispel, Splitting methods. Acta Numerica. 11:, 341–434 (2002).",{},{"id":1330,"text":1602,"url":1332,"identifiers":1603},"J Weickert, BM ter Haar Romeny, MA Viergever, Efficient and reliable schemes for nonlinear diffusion filtering. IEEE Trans. Image Process. 7:, 398–410 (1998).",{"doi":1334},{"id":1330,"text":1605,"url":1332,"identifiers":1606},"S Dumont, N Igbida, On a dual formulation for the growing sandpile problem. Eur. J. Appl. Math. 2:, 169–185 (2009).",{"doi":1334},{"id":18,"text":1608,"url":18,"identifiers":1609},"E Dibendetto, Degenerate Parabolic Equations (Spring-Verlag, New York, 1993).",{},{"id":1330,"text":1611,"url":1332,"identifiers":1612},"W Wei, B Zhou, A p-Laplace equation model for image denoising. Inform. Technol. J. 11:, 632–636 (2012).",{"doi":1334},{"id":1614,"text":1615,"url":1616,"identifiers":1617},"86879686-c086-4a4e-835c-8c378fda71af","F Andreu, JM Mazon, JD Rossi, J Toledo, The limit as p→∞ in a nonlocal p-Laplacian evolution equation: a nonlocal approximation of a model for sandpiles. Calc. Var.3:, 279–316 (2009).","https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1007\u002Fs00526-008-0205-2",{"doi":1618},"10.1007\u002Fs00526-008-0205-2",{"id":1330,"text":1620,"url":1332,"identifiers":1621},"L Prigozhin, Variational model of sandpile growth. Euro. J. Appl. Math. 3:, 225–235 (2009).",{"doi":1334},{"id":1330,"text":1623,"url":1332,"identifiers":1624},"R Glowinski, J Rappaz, Approximation of a nonlinear elliptic problem arising in a non-Newtonian fluid model in glaciology. M2AN Math. Model. Numer. Anal. 1:, 175–186 (2003).",{"doi":1334},{"id":1626,"text":1627,"url":1628,"identifiers":1629},"12285bae-375f-4a37-9806-23b0117f7f1f","N Igbida, F Karami, T Nga, Discrete collapsing sandpile model. Nonlinear Anal. Theory Methods Appl. 1:, 177–189 (2014).","https:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002FS0362546X13003945",{"doi":1630},"10.1016\u002Fj.na.2013.11.015"]