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Titlebook: Wavelet Analysis and Its Applications; Second International Yuan Y. Tang,Pong C. Yuen,Victor Wickerhauser Conference proceedings 2001 Sprin

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Three Novel Models of Threshold Estimator for Wavelet Coefficients the discontinuity in the hard-thresholding and biased estimation in the soft-thresholding, three novel models of threshold estimator are presented, which are polynomial interpolating thresholding method, compromising method of hard- and soft-thresholding and modulus square thresholding method respe
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Embedded Zerotree Wavelet Coding of Image Sequenceion quality as well objectively as subjectively for a minimum given bit rate. Progressive transmission, rate control for constant bit-rate and rate scalability are the main characteristics of this system.
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Wavelet-Based Video Compression Using Long-Term Memory Motion-Compensated Prediction and Context-Bass blocking-artifact free and hence subjectively more pleasing video. In comparison with a highly optimized MPEG-4 (Version 2)coder, our proposed scheme provides significant performance gains in objective quality of 2.0-3.5 dB PSNR.
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Stability of Biorthogonal Wavelet Bases in , ,(,)ne. Stability is therefore established by counting eigenvalues at one of finite matrices. The new criterion, in conjunction with the lifting scheme, provides an algorithm for the custom design of stable filter banks.
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Stability of Biorthogonal Wavelet Bases in , ,(,)ne. Stability is therefore established by counting eigenvalues at one of finite matrices. The new criterion, in conjunction with the lifting scheme, provides an algorithm for the custom design of stable filter banks.
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Hybrid Representations of Audiophonic Signalsof transform coding. The signal models involve nonlinear expansions on local trigonometric bases, and binary trees of wavelet coefficients. Unlike several existing approaches, the method does not rely on any prior segmentation of the signal. The talk is based on joint works with L. Daudet and S. Molla.
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Hybrid Representations of Audiophonic Signalsof transform coding. The signal models involve nonlinear expansions on local trigonometric bases, and binary trees of wavelet coefficients. Unlike several existing approaches, the method does not rely on any prior segmentation of the signal. The talk is based on joint works with L. Daudet and S. Molla.
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