Based on the authors research in Fourier analysis, Brief Notes
in Advanced DSP: Fourier Analysis with MATLAB(r) addresses many
concepts and applications of digital signal processing (DSP). The
included MATLAB(r) 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.
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