Results 301 to 310 of about 887,103 (337)

Sample-by-sample multi-transform processing of nonstationary speech signals

Conference Record of Thirty-Second Asilomar Conference on Signals, Systems and Computers (Cat. No.98CH36284), 2002
We develop algorithms that use orthogonal transforms for sample-by-sample representation of speech signals. Two implementation structures are proposed, namely, the gradient and the Gauss-Seidel structures. The performance of these structures is found to be considerably superior to the performance of previously developed block-by-block implementation ...
B.R. Savkur, V. DeBrunner
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CCD Signal Processing Based on Correlated Double Sampling

2011 5th International Conference on Bioinformatics and Biomedical Engineering, 2011
The output signal of charge coupled device (CCD) includes many kinds of noises. So in CCD signal acquisition system, it is a key technique that the CCD signal noises must be eliminated or weakened. The paper analyzes the generated mechanism of CCD signal noises, and designs signal processing circuits based on correlated double sampling (CDS) technique ...
Rongli Liu, Jianrong Lu, Jinli Ding, Youjun Liu   +3 more
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Free Probability, Sample Covariance Matrices, and Signal Processing

2006 IEEE International Conference on Acoustics Speed and Signal Processing Proceedings, 2006
Free probability provides tools and techniques for analyzing the eigen-spectra of large Hermitian random matrices. These stochastic eigen-analysis techniques have been invaluable in providing insight into the structure of sample covariance matrices. We briefly outline how these techniques can be used to analytically predict the spectrum of large sample
N.R. Rao, A. Edelman
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Importance sampling in signal processing applications

2015
Importance sampling is a technique originating in Monte Carlo simulation whereby one samples from a different, weighted distribution, in order to reduce variance of the resulting estimator. More recently, variations of importance sampling have emerged as a means for reducing computational and sample complexity in different problems of modern signal ...
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The Sampling Theorem of Signal Processing

2002
This overview paper treats the sampling theorem of signal analysis, and especially a variety of its applications in mathematics. These include fractional and infinite series forms of classical combinatorial identities, such as the Chu-Vandermonde convolution formula and some identities due to Hagen, the Gauss summation formula for hypergeometric ...
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Multiscale statistical signal processing: identification of a multiscale AR process from a sample of an ordinary signal

IEEE Transactions on Signal Processing, 1993
Summary: The theory of stochastic processes on homogeneous trees aims at contributing to the theory of multiresolution stochastic modeling and associated techniques of multiscale, statistical signal processing. In this paper, we solve the problem of identifying such a multiscale process indexed by the nodes of a tree from the observation of this ...
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A novel sampling method for CCD signal processing

2010 3rd International Congress on Image and Signal Processing, 2010
In this paper, an efficient sampling method for CCD signal processing is proposed. A sampling clock is used, and its sampling clock is equal to the interval of the floating gate signal. Compared to the existing Correlated Double Sampling (CDS) method, this method saves a sampling clock and prevents the dislocation of the sampling clocks.
Lei Zhang, Hui Lin, R. Du
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Sampling Theory in Signal and Image Processing

2011
Besides the proceedings, participants were invited to prepare an extended version of their SAMPTA contribution for a special issue of STSIP. Ten papers were accepted, covering a wide range of aspects of sampling theory (classical sampling, frame theory, wavelets, multi-resolution, operator approximation) and applications (impulse radio ultra-wide band,
Fesquet, Laurent, Torrésani, B.
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The Evolution of Analogue Sampled-Data Signal Processing

1993
In this chapter the evolution of analogue sampled-data techniques has been reviewed. The switched-capacitor technique has been seen to dominate in general purpose applications, whilst CCDs are being used extensively in imaging arrays. The emergence of mixed-mode analogue and digital signal processing and the subsequent need to integrate analogue ...
Nicholas C. Battersby, Chris Toumazou
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Parallel Graph Signal Processing: Sampling and Reconstruction

IEEE Transactions on Signal and Information Processing over Networks, 2023
Daniela Dapena, Daniel L. Lau, Gonzalo R. Arce   +2 more
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