The Mathematics of Signal Processing

The Mathematics of Signal Processing

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Arising from courses taught by the authors, this largely self-contained treatment is ideal for mathematicians who are interested in applications or for students from applied fields who want to understand the mathematics behind their subject. Early chapters cover Fourier analysis, functional analysis, probability and linear algebra, all of which have been chosen to prepare the reader for the applications to come. The book includes rigorous proofs of core results in compressive sensing and wavelet convergence. Fundamental is the treatment of the linear system y=Ibx in both finite and infinite dimensions. There are three possibilities: the system is determined, overdetermined or underdetermined, each with different aspects. The authors assume only basic familiarity with advanced calculus, linear algebra and matrix theory and modest familiarity with signal processing, so the book is accessible to students from the advanced undergraduate level. Many exercises are also included.The preceding algorithm is an example of the Fast Wavelet Transform (FWT). ... By definition, any truncated Haar wavelet expansion is a step function. Most of the ... The dwt command of MATLAB accomplishes the filtering ac- tion of (9.15).


Title:The Mathematics of Signal Processing
Author: Steven B. Damelin, Willard Miller, Jr
Publisher:Cambridge University Press - 2012-01
ISBN-13:

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