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A Wavelet Tour of Signal Processing, Third Edition: The Sparse Way
Review 'There is no question that this revision should be published.
Mallat's book is the undisputed reference in this field - it is the only one that covers the essential material in such breadth and depth.' - Laurent Demanet, Stanford University Book Description The undisputed reference on wavelet signal processing by the key pioneer in the field - Stéphane Mallat.
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date: 12/26/2008
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Analog & Digital Signal Processing
Analog & Digital Signal Processing: A Computational Approach provides a thorough yet mathematically accessible introduction to signal processing.
With the increasing presence of digital signal processing (DSP) in everyday life, in the form of devices such as CD and DVD players, digital cameras, wireless telephones, and voice recognition, it has accordingly become a central element in the design of a variety of systems and applications.
This...
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Applied Signal Processing: A MATLAB-Based Proof of Concept
'Applied Signal Processing: A MATLAB-Based Proof of Concept' benefits readers by including the teaching background of experts in various applied signal processing fields and presenting them in a project-oriented framework.
Unlike many other MATLAB-based textbooks which only use MATLAB to illustrate theoretical aspects, this book provides fully commented MATLAB code for working proofs-of-concept.
The MATLAB code provided on the accompanying...
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date: 3/4/2009
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book
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Digital Alias-free Signal Processing
As demand for applications working in extended frequency ranges increases, classical Digital signal processing (DSP) techniques, not protected against aliasing, are becoming less effective.
Digital alias-free signal processing (DASP) is a technique for overcoming the problems of aliasing at extended frequency ranges.
Based on non-uniform or randomised sampling techniques and the development of novel algorithms, it creates the capacity to...
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date: 6/11/2007
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Digital Signal Processing
This textbook presents digital signal processing (DSP) principles, applications, and hardware implementation issues, emphasizing achievable results and conclusions through the presentation of numerous worked examples, while reducing the use of mathematics for an easier grasp of the concepts.
Features include: * Real-time implementation of DSP algorithms using DSP processors * MATLAB programs for simulations and C programs for...
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date: 7/27/2007
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