Improving the speed and performance of adaptive equalizers via transform based adaptive filtering Tập 2 - Trang 1301-1304 vol.2
M.A. Shamma
Adaptive equalizers are widely used in many communication systems where the
channel frequency response characteristics are either time varying or unknown
such as the case in wireless and dial up telecommunication networks where the
communication channel constantly change due to the different packet routes and
switching that takes place, as well as due to the changes in the RF propagation.
This wor... hiện toàn bộ
#Adaptive equalizers #Adaptive filters #Discrete Fourier transforms #Discrete wavelet transforms #Fourier transforms #Discrete cosine transforms #Eigenvalues and eigenfunctions #Frequency response #Time varying systems #Communication channels
Recursive non parametric spectral estimation from irregularly sampled observations Tập 2 - Trang 799-802 vol.2
A. Rivoira, G. Fleury
In this paper, the nonparametric spectral analysis of a randomly sampled signal
is discussed. In particular, a class of estimators is introduced: the IRINCORREL
class. This class is composed of recursive algorithms which both take into
account the sampling irregularity and the correlation of the signal values. The
study of the mean square estimation error shows that there is a trade off
between bi... hiện toàn bộ
#Recursive estimation #Sampling methods #Spectral analysis #Signal processing algorithms #Frequency #Random variables #Large Hadron Collider #Estimation error #Convergence #Signal processing
Stochastic quantization transfer functions for high resolution signal estimation Tập 2 - Trang 881-884 vol.2
H. Berndt, H.-J. Jentschel
Scalar signal quantization is commonly based on a deterministic definition of
nonlinear transfer functions. However, in the more general case of stochastic
quantization a non-deterministic approach is required. This paper presents an
analysis of general stochastic quantization properties derived from a model
incorporating a regular deterministic quantizer. It is shown how stochastic
quantization t... hiện toàn bộ
#Stochastic processes #Quantization #Transfer functions #Signal resolution #Estimation #Random processes #Equations #Sampling methods #Mean square error methods #Probability density function
Noisy signal compression based on optimal search in wavelet bintree Tập 2 - Trang 513-516 vol.2
Lei Zhang, P. Bao
This paper presents a wavelet based simultaneous de-noising and compression
scheme for noisy signals. The orthogonal wavelet transform (OWT), used in the
traditional signal coding and denoising, is translation variant, which hinders
its performance in the signal processing. It is also interesting if an optimal
waveform can be selected from a family of wavelet bases to best transform a set
of funct... hiện toàn bộ
#Noise reduction #Wavelet transforms #Wavelet coefficients #Signal processing #Encoding #Filters #White noise #Libraries #Decorrelation #Data compression
A local approach for fast line detection Tập 2 - Trang 1109-1112 vol.2
S. Lefevre, C. Dixon, C. Jeusse, N. Vincent
In this paper we are concerned with line detection for scene modelling. So we
focus on horizontal and vertical lines and we propose a fast local approach to
detect lines in binary images. The approach described here can easily be
extended to lines characterized by other directions. Pixels are analysed using
an accumulator on a block-based basis in order to obtain possible line segments
for each bl... hiện toàn bộ
#Layout #Image edge detection #Convolution #Image segmentation #Video sequences #Humans #Image analysis #Image processing #Voting
State-trajectory behavior in high-order, lowpass sigma-delta modulators with distinct NTF zeros Tập 2 - Trang 1053-1056 vol.2
N. Wong, Tung-Sang Ng
This paper presents a generic, scalable approach to obtain closed-form
state-trajectory expressions for high-order (order > 2) lowpass sigma-delta
(/spl Sigma//spl Delta/) modulators with distinct noise transfer function (NTF)
zeros. Constant modulator input is assumed. The techniques of state-space
diagonalization, continuous-time embedding, and Poincare map analysis are
combined and extended. It... hiện toàn bộ
#Delta-sigma modulation #Stability analysis #Transfer functions #Bridges #Noise shaping #Linearity #Signal to noise ratio #Chaos #Limit-cycles #Matrix decomposition
Adaptive classification-based articulation and tracking of video objects employing neural network retraining Tập 2 - Trang 575-578 vol.2
N.D. Doulamis, A.D. Doulamis, K. Ntalianis
An adaptive neural network architecture is proposed for efficient video object
segmentation and tracking of stereoscopic video sequences. The scheme includes
(a) a retraining algorithm for adapting network weights to current conditions;
(b) a semantically meaningful object extraction module for creating a retraining
set; (c) a decision mechanism, which detects the time instances of a new network
r... hiện toàn bộ
#Neural networks #Video sequences #MPEG 4 Standard #Standards development #Layout #Adaptive systems #Electronic mail #Computer architecture #Object segmentation #Data mining
A prognostic-classification system based on a probabilistic NN for predicting urine bladder cancer recurrence Tập 2 - Trang 1161-1164 vol.2
P. Spyridonos, D. Glotsos, D. Cavouras, P. Ravazoula, G. Nikiforidis
In this paper our purpose was to design a prognostic-classification system,
based on a probabilistic neural network (PNN), for predicting urine bladder
cancer recurrence. Ninety-two patients with bladder cancer were diagnosed and
followed up. Images from each patient tissue sample were digitized and an
adequate number of nuclei per case were segmented for the generation of
morphological and textur... hiện toàn bộ
#Neural networks #Bladder #Cancer #Neoplasms #Microscopy #Biomedical imaging #Medical diagnostic imaging #Educational technology #Hospitals #Recurrent neural networks
Robust non-linear filtering for video processing Tập 2 - Trang 571-574 vol.2
V. Zlokolica, W. Philips, D. Van De Ville
Noise removal techniques, such as the K-nearest neighbour filter and the /spl
alpha/-trimmed mean filter, are known to be very robust in still image noise
removal, but they have not been exploited in video processing. We investigate
their 3D-extension for use in video sequence noise removal. We also determine
the optimal balance between temporal and spatial window size, the optimal values
of the o... hiện toàn bộ
#Nonlinear filters #Gaussian noise #Noise robustness #Image processing #Pixel #Information filtering #Information filters #Video sequences #PSNR #Sorting
A hybrid approach for solving the cluster validity problem Tập 2 - Trang 1207-1210 vol.2
A. Chong, T.D. Gedeon, L.T. Koczy
A hybrid approach for solving the cluster validity problem is proposed. The
proposed technique uses a cluster validity index in conjunction with a merging
index to find the optimal number of clusters in a set of data. The technique
does not place any restriction on the fuzzy clustering technique and the cluster
validity index used. This paper examines the use of fuzzy c-means clustering and
the va... hiện toàn bộ
#Merging #Fuzzy systems #Clustering algorithms #Partitioning algorithms #Information technology #Australia #Telecommunications #Telematics #Image processing #Clustering methods