The Transforms and Applications Handbook, Second Edition (Electrical Engineering Handbook) - ISBN:0849385954

The Transforms and Applications Handbook, Second Edition (Electrical Engineering Handbook)

Date: 27 April 2011, 10:49

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About the first edition: The editor and the 12 contributors are well qualified, and each has done an excellent job of presenting material in a lucid manner. The handbook is an excellent buy, recommended for upper-division undergraduates through researchers/faculty.
-Choice, October 1996
The material is clearly and accurately presented and fulfills the editor's aim to furnish an accessible reference work for students and engineers. I found the book pleasant and rewarding for browsing. There is a great deal of information contained in this volume, both historical and technical. I particularly enjoyed the material dealing with the Radon transform and I recommend the chapter on wavelets as an easy introduction to this increasingly important topic. Courant would approve of this book.
-SIAM Review, vol. 43, no. 3 (549-581)
Product Description
In a single volume, the bestselling Transforms and Applications Handbook brings together the most important mathematical transforms frequently used by engineers and scientists. Now in its second edition, all of the material has been updated by the original contributors, with valuable new material added.New in the Second Edition:·Chapters addressing Discrete Time and the Discrete Transforms, Fractional Fourier Transforms, and Lapped Transforms·Complete revisions of the chapters on Mellin, Wavelet, and Hartley Transforms·An expanded table of Laplace transformsEach chapter of the Handbook covers one transform and provides numerous examples and applications demonstrating the use of the transform and its properties. Beginning with a treatment of the delta function and some of the classical orthogonal functions, it details:oFourier TransformsoCosine and Sine TransformsoHartley TransformsoLaplace TransformsoZ-TransformsoHilbert TransformsoRadon and Abel TransformsoTime-Frequency TransformationsoWavelet TransformsoHankel TransformsoMellin Transforms

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