Digital Signal Processing Primer
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Digital Signal Processing Primer
Author: Kenneth Steiglitz
language: en
Publisher: Courier Dover Publications
Release Date: 2020-11-18
Informal, easy-to-understand introduction covers phasors and tuning forks, wave equation, sampling and quantizing, feedforward and feedback filters, comb and string filters, periodic sounds, transform methods, and filter design. 1996 edition.
DSP Primer
Author: C. Britton Rorabaugh
language: en
Publisher: McGraw Hill Professional
Release Date: 1999
Digital Signal Processing (DSP) has applications in many areas of electrical engineering from telecommunications to computer hardware. This text and CD-ROM provide nearly 200 mathematical methods, processing algorithms and design procedures in a step-by-step format.
Digital Signal Processing Using MATLAB & Wavelets
Author: Michael Weeks
language: en
Publisher: Jones & Bartlett Publishers
Release Date: 2011
Although Digital Signal Processing (DSP) has long been considered an electrical engineering topic, recent developments have also generated significant interest from the computer science community. DSP applications in the consumer market, such as bioinformatics, the MP3 audio format, and MPEG-based cable/satellite television have fueled a desire to understand this technology outside of hardware circles. Designed for upper division engineering and computer science students as well as practicing engineers and scientists, Digital Signal Processing Using MATLAB & Wavelets, Second Edition emphasizes the practical applications of signal processing. Over 100 MATLAB examples and wavelet techniques provide the latest applications of DSP, including image processing, games, filters, transforms, networking, parallel processing, and sound. This Second Edition also provides the mathematical processes and techniques needed to ensure an understanding of DSP theory. Designed to be incremental in difficulty, the book will benefit readers who are unfamiliar with complex mathematical topics or those limited in programming experience. Beginning with an introduction to MATLAB programming, it moves through filters, sinusoids, sampling, the Fourier transform, the z-transform and other key topics. Two chapters are dedicated to the discussion of wavelets and their applications. A CD-ROM (platform independent) accompanies the book and contains source code, projects for each chapter, and the figures from the book.