Description
Brief Notes in Advanced DSP
Fourier Analysis with MATLAB
Authors: Grigoryan Artyom M., Grigoryan Merughan
Language: EnglishSubjects for Brief Notes in Advanced DSP:
Keywords
DFT; fourier transform; Lifting Scheme; cosine transform; Integer Approximation; hadamard transform; Integer Transforms; paired transform; Discrete Time Signal; decomposition; Twiddle Factors; Control Bits; Mixed Transform; Paired Algorithm; Haar Transform; Type Iv; Hadamard Matrix; Type Ii; DCT; Wavelet Transform; Frequency Time Image; Frequency Time Points; Kernel Transform; DFT Magnitude; C1 C2 C3 C4; Truck Image; Cyclic Convolution; F2n F2n
86.68 €
In Print (Delivery period: 14 days).
Add to cart the book of Grigoryan Artyom M., Grigoryan MerughanPublication date: 11-2017
· 15.6x23.4 cm · Paperback
166.30 €
Subject to availability at the publisher.
Add to cart the book of Grigoryan Artyom M., Grigoryan MerughanPublication date: 02-2009
· 15.6x23.4 cm · Hardback
Description
/li>Contents
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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.
Discrete Fourier Transform. Integer Fourier Transform. Cosine Transform. Hadamard Transform. Paired Transform-Based Decomposition. Fourier Transform and Multiresolution. References. Index.