Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing
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Metric-based model selection for time-series forecasting
Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing - - Trang 13-22
Metric-based methods, which use unlabeled data to detect gross differences in behavior away from the training points, have recently been introduced for model selection, often yielding very significant improvements over alternatives (including cross-validation). We introduce extensions that take advantage of the particular case of time-series data in which the task involves prediction with a horizo...... hiện toàn bộ
#Predictive models #Linear regression #Input variables #Testing #Training data #Machine learning
Hủy nhiễu tín hiệu trong hệ thống DS-CDMA bằng cách chuyển đổi trước và sau với ICA và RAKE Dịch bởi AI
Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing - - Trang 495-504
Trong bài báo này, phân tích thành phần độc lập (ICA) được xem xét để hủy nhiễu mù trong hệ thống truyền thông phổ trải trực tiếp (DS-CDMA) sử dụng mảng ăng-ten. Một bộ hủy nhiễu hỗ trợ bằng ICA đã được đề xuất bởi Ristaniemi, Raju và Karhunen (xem Kỷ yếu Hội nghị quốc tế IEEE về Truyền thông, New York, Hoa Kỳ, tháng 4 năm 2002). Cấu trúc bộ thu này là một mở rộng của khung đã được đề xuất bởi Bel...... hiện toàn bộ
#Hủy nhiễu #Truyền thông đa truy cập #Phân tích thành phần độc lập #Hủy nhiễu #Công tắc #Công tắc truyền thông #Truyền thông phổ trải #Phụ kiện ăng-ten #Mảng ăng-ten #HĐND Hoa Kỳ
A stochastic method for minimizing functions with many minima
Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing - - Trang 289-296
An efficient stochastic method for continuous optimization problems is presented. Combining a novel global search with typical local optimization methods, the proposed method specializes in hard optimization problems such as minimizing multimodal or ill-conditioned unimodal objective functions. Extensive numerical studies show that, starting from a random initial point, the proposed method is alwa...... hiện toàn bộ
#Stochastic processes #Optimization methods #Minimization methods #Newton method #Least squares methods #Recursive estimation #Computational modeling #Simulated annealing #Genetics #Algorithm design and analysis
Time domain blind source separation of non-stationary convolved signals by utilizing geometric beamforming
Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing - - Trang 445-454
We propose a time-domain blind source separation (BSS) algorithm that utilizes geometric information such as sensor positions and assumed locations of sources. The algorithm tackles the problem of convolved mixtures by explicitly exploiting the non-stationarity of the acoustic sources. The learning rule is based on second-order statistics and is derived by natural gradient minimization. The propos...... hiện toàn bộ
#Blind source separation #Source separation #Finite impulse response filter #Speech #Frequency domain analysis #Array signal processing #Acoustic sensors #Laboratories #Time domain analysis #Statistics
Adaptive BP neural network (ABPNN) based PN code acquisition system via recursive accumulator
Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing - - Trang 737-745
An adaptive back propagation (BP) neural network based PN code acquisition system is presented. Conventional neural network based acquisition systems are usually trained on PN code, but this system is based on training a back propagation neural network at all possible phases of the output of a correlation detector which is modified by a recursive accumulator. The recursive accumulator can converge...... hiện toàn bộ
#Adaptive systems #Neural networks #Signal to noise ratio #Phase detection #Detectors #Control systems #Training data #Additive white noise #Gaussian noise #Computer simulation
Speaker normalization using HMM2
Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing - - Trang 647-656
We present an HMM2 based method for speaker normalization. Introduced as an extension of hidden Markov model (HMM), HMM2 differentiates itself from the regular HMM in terms of the emission density modeling, which is done by a set of state-dependent HMMs working in the feature vector space. The emission modeling HMM aims at maximizing the likelihood through optimal alignment of its states across th...... hiện toàn bộ
#Hidden Markov models #Frequency #Piecewise linear techniques #Testing #Vectors #Artificial intelligence #Feature extraction #Speech recognition #Shape #Adaptation model
Fully adaptive neural nonlinear FIR filters
Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing - - Trang 279-288
A class of algorithms for training neural adaptive filters employed for nonlinear adaptive filtering is introduced. Sign algorithms incorporated with the fully adaptive normalised nonlinear gradient descent (SFANNGD) algorithm, normalised nonlinear gradient descent (SNNGD) algorithm and nonlinear gradient descent (SNGD) algorithm are proposed. The SFANNGD, SNNGD and the SNGD are derived based upon...... hiện toàn bộ
#Finite impulse response filter #Adaptive filters #Computational complexity #Mathematical model #Cost function #Convergence #Taylor series #Educational institutions #Information systems #Filtering algorithms
Ký ức liên kết tạm thời và sự xấp xỉ hàm với bản đồ tự tổ chức Dịch bởi AI
Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing - - Trang 109-118
Chúng tôi đề xuất một kỹ thuật lập mô hình nơ-ron không giám sát, gọi là ký ức liên kết tạm thời dạng vector (VQTAM), cho phép bản đồ tự tổ chức của Kohonen (SOM) xấp xỉ các ánh xạ động lực phi tuyến trên toàn cầu. Phân tích lý thuyết về phương pháp VQTAM cho thấy rằng độ sai lệch xấp xỉ giảm đi khi quá trình đào tạo SOM diễn ra. SOM được so sánh với mạng MLP tiêu chuẩn và mạng RBF trong việc xác ...... hiện toàn bộ
#Ký ức liên kết #Xấp xỉ hàm #Mô hình hóa hệ thống sinh học #Thiết bị truyền động thủy lực #Hệ thống động lực phi tuyến #Mô hình toán học #Mô hình dự đoán #Hệ thống điều khiển phi tuyến #Mạng hàm cơ sở bán kính #Roentgenium
Blind identification problems with constraints
Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing - - Trang 535-544
In many applications of independent component analysis (ICA) and blind source separation (BSS) the mixing or separating matrices have some special structure or some constraints are imposed for the matrices like symmetry, orthogonality, nonnegativity, sparseness and unit (or specified invariant norm) of the matrix. We present several algorithms and overview some known transformations which allows u...... hiện toàn bộ
#Independent component analysis #Symmetric matrices #Source separation #Covariance matrix #Blind source separation #Signal processing algorithms #Infrared sensors #Matrix decomposition #Laboratories #Biomedical signal processing
A multi-channel recurrent network for synthesizing struck coupled-string musical instruments
Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing - - Trang 677-686
Struck string instruments, such as pianos, usually have groups of strings with each group terminated at a common bridge. Because of the strong coupling phenomenon, the produced tones exhibit highly complex amplitude modulation patterns. Therefore, it is difficult to determine synthesis model parameters such that the synthesized tones can match recorded tones. A multi-channel recurrent network is p...... hiện toàn bộ
#Network synthesis #Instruments #Bridges #Digital filters #Amplitude modulation #Computer simulation #Motion analysis #Pulse generation #Acoustic waveguides #Frequency domain analysis
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