Shen / Zayed Multiscale Signal Analysis and Modeling

1. Auflage 2012
ISBN: 978-1-4614-4145-8
Verlag: Springer US
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 378 Seiten, eBook

Multiscale Signal Analysis and Modeling presents recent advances in multiscale analysis and modeling using wavelets and other systems. This book also presents applications in digital signal processing using sampling theory and techniques from various function spaces, filter design, feature extraction and classification, signal and image representation/transmission, coding, nonparametric statistical signal processing, and statistical learning theory.

Zielgruppe

Research

Autoren/Hrsg.

Shen, Xiaoping

Zayed, Ahmed I.

Inhaltsverzeichnis

Part I Sampling.- Convergence and Summability of Cardinal Series.- Improved Approximation via Use of Transformations.- Generalized Sampling In L 2 (Rd) Shift-Invariant Subspaces With Multiple Stable Generators.- Function Spaces for Sampling Expansions.- Coprime Sampling And Arrays In One And Multiple Dimensions.- Chromatic Expansions and the Bargmann Transform.- Representation formulas for Hardy space functions through the Cuntz relations and new interpolation problems.- Constructions and a generalization of perfect autocorrelation sequences on Z.- Part II Multiscale Analysis.- A unified theory for multiscale analysis of complex time series.- Wavelet Analysis of ECG Signals.- Multiscale signal processing with discrete Hermite functions.- Local Discriminant Basis Using Earth Mover's Distance Earth Mover’s Distance Based Local Discriminant Basis.- Part III statistical Analysis.- Characterizations of Certain Continuous Distributions.- Bayesian Wavelet Shrinkage Strategies - A Review.- Multi-parameter regularization for construction of extrapolating estimators in  statistical learning theory.