Signal Analysis Wavelets, Filter Banks, Time-Frequency Transforms and Applications - ISBN:0470841834

Signal Analysis Wavelets, Filter Banks, Time-Frequency Transforms and Applications

Date: 12 April 2011, 03:38

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A central goal in signal analysis is to extract information from signals that are related to real-world phenomena. Examples are the analysis of speech, images, and signals in medical or geophysical applications. One reason for analyzing such signals is to achieve better understanding of the underlying physical phenomena. Another is to find compact representations of signals which allow compact storage or efficient transmission of signals through real-world environments. The methods of analyzing signals are wide spread and range from classical Fourier analysis to various types of linear time-frequency transforms and model-based and non-linear approaches. This book concentrates on transforms, but also gives a brief introduction to linear estimation theory and related signal analysis methods. The text is self-contained for readers with some background in system theory and digital signal processing, as typically gained in undergraduate courses in electrical and computer engineering.\

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