Digital Signal Processing for Audio Applications. Second Edition (Paperback)

Anton Kamenov

ISBN 10: 1503280934 / ISBN 13: 9781503280939

Published by Createspace Independent Publishing Platform, 2014

About this Item

Paperback. "Digital Signal Processing for Audio Applications" by Anton Kamenov is a simple structural approach to understanding how digitally recorded sound can be manipulated. It presents and explains, and sometimes derives, the mathematical theory that the DSP user can employ in designing sound manipulating applications.Although this book contains some mathematics, it is not for mathematicians, but for the engineers and hobbyists. If properly explained, much of the practical DSP applications reduce to simple algebra. This said, the book contains a sufficient amount of theory to provide an explanation of why DSP works the way it does. It is important for practitioners to have a good understanding of how DSP concepts come about. Much of the available DSP information has too much theory and not enough examples. Much of it has too many practical examples and not enough theoretical backing. We hope to have found the proper balance.The additions to the book that come with this second edition are significant: examples of dynamics compression, wavelet transforms and data compression, more windows, elliptic filters, and impulse reverbs through de-convolution. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9781503280939

Bibliographic Details

Title: Digital Signal Processing for Audio ...

Publisher: Createspace Independent Publishing Platform

Publication Date: 2014

Binding: Paperback

Condition: new

Edition: 2nd Edition

About this title

Synopsis:

"Digital Signal Processing for Audio Applications" by Anton Kamenov is a simple structural approach to understanding how digitally recorded sound can be manipulated. It presents and explains, and sometimes derives, the mathematical theory that the DSP user can employ in designing sound manipulating applications. Although this book contains some mathematics, it is not for mathematicians, but for the engineers and hobbyists. If properly explained, much of the practical DSP applications reduce to simple algebra. This said, the book contains a sufficient amount of theory to provide an explanation of why DSP works the way it does. It is important for practitioners to have a good understanding of how DSP concepts come about. Much of the available DSP information has too much theory and not enough examples. Much of it has too many practical examples and not enough theoretical backing. We hope to have found the proper balance. The additions to the book that come with this second edition are significant: examples of dynamics compression, wavelet transforms and data compression, more windows, elliptic filters, and impulse reverbs through de-convolution.