1st Edition

Brief Notes in Advanced DSP
Fourier Analysis with MATLAB

ISBN 9781138117747
Published November 15, 2017 by CRC Press
354 Pages 17 Color & 205 B/W Illustrations

USD $84.95

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Book Description

Based on the authors’ research in Fourier analysis, Brief Notes in Advanced DSP: Fourier Analysis with MATLAB® addresses many concepts and applications of digital signal processing (DSP). The included MATLAB® codes illustrate how to apply the ideas in practice.

The book begins with the basic concept of the discrete Fourier transformation and its properties. It then describes lifting schemes, integer transformations, the discrete cosine transform, and the paired transform method for calculating the discrete Hadamard transform. The text also examines the decomposition of the 1D signal by so-called section basis signals as well as new forms of 2D signal/image representation and decomposition by direction signals/images. Focusing on Fourier transform wavelets and Givens–Haar transforms, the last chapter discusses the problem of signal multiresolution.

This book presents numerous interesting problems and concepts of unitary transformations, such as the Fourier, Hadamard, Hartley, Haar, paired, cosine, and new signal-induced transformations. It aids readers in using new forms and methods of signals and images in the frequency and frequency-and-time domains.

Table of Contents

Discrete Fourier Transform

Properties of the discrete Fourier transform

Fourier transform splitting

Fast Fourier transform

Codes for the paired FFT

Paired and Haar transforms

Integer Fourier Transform

Reversible integer Fourier transform

Lifting schemes for DFT

One-point integer transform

DFT in vector form

Roots of the unit

Codes for the block DFT

General elliptic Fourier transforms

Cosine Transform

Partitioning the DCT

Paired algorithm for the N-point DCT

Codes for the paired transform

Reversible integer DCT

Method of nonlinear equations

Canonical representation of the integer DCT

Hadamard Transform

The Walsh and Hadamard transform

Mixed Hadamard transformation

Generalized bit and transformations

T-decomposition of Hadamard matrices

Mixed Fourier transformations

Mixed transformations: continuous case

Paired Transform-Based Decomposition

Decomposition of 1D signals

2D paired representation

Fourier Transform and Multiresolution

Fourier transform

Representation by frequency-time wavelets

Time-frequency correlation analysis

Givens–Haar transformations



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