Wavelets and Signal Processing

An Application-Based Introduction

By: Hans-Georg Stark

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Hardcover | 1 April 2005

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164 Pages

Dimensions(cm)
24.13 x 16.51 x 1.91

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As the applications of wavelets transform have spread to diverse areas of signal analysis and compression, students and practitioners need a practical introduction and overview. This textbook provides that concise and practical introduction to the underlying foundations and important applications. Through numerous examples and case studies from industry, it demonstrates both the potential and the limits of wavelet techniques, expanding the usual treatment beyond the discrete wavelet transform to the continuous transform. Providing the basics of Fourier transforms and digital filters in the appendix, the text is supplemented with end-of-chapter exercises, MatLab code, and a short introduction to the MATLAB wavelet toolbox. Students of electrical engineering students and engineers in industry can benefit from the concentration on real applications.

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Published: 14th October 2010

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Introduction: Signals and Signal Processing
Local Analysis
A Roadmap for the Book
Continuous Analysis: The Short Time Fourier Transform STFT
The Continuous Wavelet Transform CWT
Case Studies
Notes and Exercises
The Discrete Wavelet Transform: Redundancy of the CWT and the STFT
The Haar-System
Generalization to Daubechies Wavelets
Multiscale Analysis
A Unifying Viewpoint: Basis Systems
Case Studies
Notes and Exercises
More Applications: The Transform Compression Scheme
Wavelet-Based Similarity Retrieval in Image Archives
Appendix: Fourier Transform and Uncertainty Relation
Discrete Fourier Transform DFT
Digital Filters
Solution to Selected Problems
Notations and Symbols
References
Index
Table of Contents provided by Publisher. All Rights Reserved.

Wavelets and Signal Processing

An Application-Based Introduction

At a Glance

Hardcover

Shipping

How to return your order

Defective items

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Other Editions and Formats

Paperback

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