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检索条件"任意字段=Advanced Signal Processing Algorithms, Architectures, and Implementations XVII"
419 条 记 录,以下是121-130 订阅
排序:
DIRECTION-OF-ARRIVAL TRACKING BY PARALLEL ARRAY-processing  4
DIRECTION-OF-ARRIVAL TRACKING BY PARALLEL ARRAY-PROCESSING
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4TH CONF ON advanced signal processing algorithms, architectures, AND implementations
作者: PEREZNEIRA, A LAGUNAS, MA ETSI Telecommunication (Spain)
Antenna arrays collect multidimensional data that contains signals arriving from different sources. Neural Network architectures can separate the different signals, thus enabling parallel processing structures. These ... 详细信息
来源: 评论
OPTIMAL KERNELS FOR TIME-FREQUENCY ANALYSIS
OPTIMAL KERNELS FOR TIME-FREQUENCY ANALYSIS
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CONF ON advanced signal-processing algorithms, architectures, AND implementations
作者: BARANIUK, RG JONES, DL Univ. of Illinois/Urbana-Champaign (United States)
Current bilinear time-frequency representations apply a fixed kernel to smooth the Wigner distribution. However the choice of a fixed kernel limits the class ofsignals that can be analyzed effectively. This paper pres... 详细信息
来源: 评论
signal-ADAPTIVE DECOMPOSITION OF MULTICOMPONENT signalS  4
SIGNAL-ADAPTIVE DECOMPOSITION OF MULTICOMPONENT SIGNALS
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4TH CONF ON advanced signal processing algorithms, architectures, AND implementations
作者: ASSALEH, KT MAMMONE, RJ Rutgers Univ. (United States)
In this paper we present a new method for adaptively decomposing a multicomponent signal into its components. This method is based on fitting an autoregressive (AR) model to the short-time spectra of the signal. The A... 详细信息
来源: 评论
Implementation of pattern recognition algorithm based on RBF neural network
Implementation of pattern recognition algorithm based on RBF...
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Conference on advanced signal processing algorithms, architectures and implementations XII
作者: Bouchoux, S Brost, V Yang, F Grapin, JC Paindavoine, M Univ Burgundy Lab LE2I Fac Sci Mirande Aile Ingenieur F-21011 Dijon France
In this paper, we present implementations of a pattern recognition algorithm which uses a RBF (Radial Basis Function) neural network. Our aim is to elaborate a quite efficient system which realizes real time faces tra... 详细信息
来源: 评论
Approach to regularization preconditioners for image processing
Approach to regularization preconditioners for image process...
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Conference on advanced signal processing algorithms architectures and implementations XIII
作者: Estatico, C Univ Genoa Dipartmento Matemat I-16146 Genoa Italy
Preconditioning techniques for linear systems are widely used in order to speed up the convergence of iterative methods. Unfortunately, linear systems arising in image processing are highly ill-conditioned and precond... 详细信息
来源: 评论
Feature preserving lossy image compression using nonlinear PDE's
Feature preserving lossy image compression using nonlinear P...
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SPIE Conference on advanced signal processing algorithms, architectures, and implementations VIII
作者: Chan, TF Zhou, HM Univ Calif Los Angeles Dept Math Los Angeles CA 90095 USA
In this report, we propose combining the Total Variation denoising method with the high loss wavelet compression for high noise level images. Numerical experiments show that TV-denoising can bring more wavelet coeffic... 详细信息
来源: 评论
A BER analysis of a space-time signal processing scheme that combines transmitter diversity with beamforming
A BER analysis of a space-time signal processing scheme that...
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Conference on advanced signal processing algorithms architectures and implementations XIII
作者: Kim, I Chun, J Korea Adv Inst Sci & Technol Comp Sci Lab Dept EECS Taejon 305701 South Korea
We introduce a new space-time signal processing scheme that uses both transmitter diversity technique and beamforming technique for code-division multiple access (CDMA) systems. The introduced scheme achieves the dive... 详细信息
来源: 评论
A Jacobi method for signal subspace computation
A Jacobi method for signal subspace computation
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Conference on advanced signal processing - algorithms, architectures, and implementations VII
作者: Paul, S Gotze, J Institute for NTCD TU Munich D-80290 Munich Germany
The Jacobi method for singular value decomposition is well-suited for parallel architectures. Its application to signal subspace computations is well known. Basically the subspace spanned by singular vectors of large ... 详细信息
来源: 评论
TREE-STRUCTURED WAVELET TRANSFORM FOR TEXTURED IMAGE SEGMENTATION
TREE-STRUCTURED WAVELET TRANSFORM FOR TEXTURED IMAGE SEGMENT...
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CONF ON advanced signal processing algorithms, architectures, AND implementations 3
作者: CHANG, TH KUO, CCJ Univ. of Southern California (United States)
A tree-structured wavelet transform has been developed for texture classification in our previous work. The new transform, which offers a non-redundant representation, is able to zoom into dominant frequency channels ... 详细信息
来源: 评论
DETECTION OF NON-GAUSSIAN signalS USING INTEGRATED POLYSPECTRUM  4
DETECTION OF NON-GAUSSIAN SIGNALS USING INTEGRATED POLYSPECT...
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4TH CONF ON advanced signal processing algorithms, architectures, AND implementations
作者: TUGNAIT, JK Auburn Univ. (United States)
We consider the problem of detecting an unknown, random, stationary, non-Gaussian signal in Gaussian noise. The most commonly used method for this problem is the so-called energy detector which can not distinguish bet... 详细信息
来源: 评论