Multiscale Signal Analysis and Modeling

Discusses recently developed signal modeling techniques, such as the multiscale method for complex time series modeling, multiscale positive density estimations, Bayesian Shrinkage Strategies, and algorithms for data adaptive statisticsIntroduces new sampling algorithms for multidimensional signal processingProvides comprehensive coverage of wavelets with presentations on waveform design and modeling, wavelet analysis of ECG signals and wavelet filtersReviews features extraction and classification algorithms for multiscale signal and image processing using Local Discriminant Basis (LDB)Develops multi-parameter regularized extrapolating estimators in statistical learning theory

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Multiscale Signal Analysis and Modeling Xiaoping Shen, Ahmed I. Zayed

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