Description

Book Synopsis

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 GivensHaar transforms, the last chapter discusses the problem of signal multiresolution.

This book presents numerous interesting problems and concepts of unitary tr

Table of Contents

Discrete Fourier Transform. Integer Fourier Transform. Cosine Transform. Hadamard Transform. Paired Transform-Based Decomposition. Fourier Transform and Multiresolution. References. Index.

Brief Notes in Advanced DSP

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    A Hardback by Artyom M. Grigoryan, Merughan Grigoryan

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      Book details

      Publisher CRC Press Inc
      Published 20 February 2009
      ISBN-13 9781439801376
      978-1439801376
      ISBN-10 1439801371
      Also in:
      Image processing Electrical engineering WAP (wireless) technology

      Description

      Book Synopsis

      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 GivensHaar transforms, the last chapter discusses the problem of signal multiresolution.

      This book presents numerous interesting problems and concepts of unitary tr

      Table of Contents

      Discrete Fourier Transform. Integer Fourier Transform. Cosine Transform. Hadamard Transform. Paired Transform-Based Decomposition. Fourier Transform and Multiresolution. References. Index.

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