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Communication Theory and Signal Processing for Transform Coding
5 June 2015

Communication Theory and Signal Processing for Transform Coding

Communication Theory and Signal Processing for Transform Coding by Khamies Mohammed Ali El-Shennawy
English | Mar 9, 2015 | ASIN: B00UHBIVVM | 562 Pages | EPUB/AZW3 | 13.63 MB/15.29 MB


This book is tailored to fulfil the requirements in the area of the signal processing in communication systems. The book contains numerous examples, solved problems and exercises to explain the methodology of Fourier Series, Fourier Analysis, Fourier Transform and properties, Fast Fourier Transform FFT, Discrete Fourier Transform DFT and properties, Discrete Cosine Transform DCT, Discrete Wavelet Transform DWT and Contourlet Transform CT.
The Discrete Fourier Transform: Theory, Algorithms and Applications
4 August 2010

The Discrete Fourier Transform: Theory, Algorithms and Applications
The Discrete Fourier Transform: Theory, Algorithms and Applications
World Scientific Publishing Company 2001 | 374 | ISBN: 9810245211 | PDF | 11 Mb
This book provides comprehensive coverage of practical Fourier analysis. It develops the concepts right from the basics and gradually guides the reader to the advanced topics. It presents the latest and practically efficient DFT algorithms, as well as the computation of discrete cosine and Walsh-Hadamard transforms. The large numbers of visual aids such as figures, flow graphs and flow charts makes the mathematical topic easy to understand. In addition, the numerous examples and the set of C-language programs (a supplement to the book) help greatly in understanding the theory and algorithms. Discrete Fourier analysis is covered first, followed by the continuous case, as the discrete case is easier to grasp and is very important in practice. This book should be useful as a text for regular or professional courses on Fourier analysis, and also as a supplementary text for courses on discrete signal processing, image processing, communications engineering and vibration analysis. ...
Discrete Time Signal Processing
12 June 2010

Discrete-Time Signal Processing
Discrete-Time Signal Processing
Publisher: Prentice Hall 1999 | 870 Pages | ISBN: 0137549202 | PDF | 8 MB

This is the standard text for introductory advanced undergraduate and first-year graduate level courses in signal processing. The text gives a coherent and exhaustive treatment of discrete-time linear systems, sampling, filtering and filter design, reconstruction, the discrete-time Fourier and z-transforms, Fourier analysis of signals, the fast Fourier transform, and spectral estimation. The author develops the basic theory independently for each of the transform domains and provides illustrative examples throughout to aid the reader.
Open Stanford Course : The Fourier Transform and Its Applications
29 May 2015

Open Stanford Course : The Fourier Transform and Its Applications

Open Stanford Course : The Fourier Transform and Its Applications
English | Size: 4.88 GB (5,241,307,419 bytes)
Category: Total Training

Course Description: The Fourier transform is ubiquitous in engineering and science and this course is appropriate for students from across the engineering and science disciplines.
Open Stanford Course : The Fourier Transform and Its Applications
30 May 2015

Open Stanford Course : The Fourier Transform and Its Applications

Open Stanford Course : The Fourier Transform and Its Applications
English | Size: 4.88 GB
Category: Total Training

Course Description: The Fourier transform is ubiquitous in engineering and science and this course is appropriate for students from across the engineering and science disciplines.
A First Course in Fourier Analysis
27 March 2010

A First Course in Fourier Analysis
David W. Kammler, "A First Course in Fourier Analysis"
Cambridge University Press | 2008 | ISBN: 0521709792 | PDF | 864 pages | 13,8 MB

This unique book provides a meaningful resource for applied mathematics through Fourier analysis. It develops a unified theory of discrete and continuous (univariate) Fourier analysis, the fast Fourier transform, and a powerful elementary theory of generalized functions and shows how these mathematical ideas can be used to study sampling theory, PDEs, probability, diffraction, musical tones, and wavelets. The book contains an unusually complete presentation of the Fourier transform calculus. It uses concepts from calculus to present an elementary theory of generalized functions. FT calculus and generalized functions are then used to study the wave equation, diffusion equation, and diffraction equation. Real-world applications of Fourier analysis are described in the chapter on musical tones. A valuable reference on Fourier analysis for a variety of students and scientific professionals, including mathematicians, physicists, chemists, geologists, electrical engineers, mechanical engineers, and others.
Fourier Transform - Materials Analysis
24 May 2012

Fourier Transform - Materials Analysis

Fourier Transform - Materials Analysis
2012 | ISBN: 9535105947 | 270 pages | PDF | 20 MB
Fourier Transform Methods in Finance
21 March 2013

Fourier Transform Methods in Finance
Fourier Transform Methods in Finance by Umberto Cherubini, Giovanni Della Lunga, Sabrina Mulinacci and Pietro Rossi
2010-02-15 | ISBN: 0470994002 | 256 pages | PDF | 2,1 MB


In recent years, Fourier transform methods have emerged as one of the major methodologies for the evaluation of derivative contracts, largely due to the need to strike a balance between the extension of existing pricing models beyond the traditional Black-Scholes setting and a need to evaluate prices consistently with the market quotes.
Fourier and Laplace Transform
25 December 2013

Fourier and Laplace Transform
Fourier and Laplace Transforms
English | 2003 | ISBN: 0521534410 | 458 pages | PDF | 4 mb
A First Course in Fourier Analysis
16 February 2011

A First Course in Fourier Analysis


A First Course in Fourier Analysis
English | 2008 | 864 pages | PDF | 13.6 MB

This unique book provides a meaningful resource for applied mathematics through Fourier analysis. It develops a unified theory of discrete and continuous (univariate) Fourier analysis, the fast Fourier transform, and a powerful elementary theory of generalized functions and shows how these mathematical ideas can be used to study sampling theory, PDEs, probability, diffraction, musical tones, and wavelets. The book contains an unusually complete presentation of the Fourier transform calculus. It uses concepts from calculus to present an elementary theory of generalized functions. FT calculus and generalized functions are then used to study the wave equation, diffusion equation, and diffraction equation. Real-world applications of Fourier analysis are described in the chapter on musical tones. A valuable reference on Fourier analysis for a variety of students and scientific professionals, including mathematicians, physicists, chemists, geologists, electrical engineers, mechanical engineers, and others.