DSP Primer

DSP Primer

by C. Britton Rorabaugh

Hardcover(BK&CD ROM)

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Overview

For day-to-day digital signal processing, you simply can't find a better source than DSP Primer. After a concise statement of the applicable theory, this clear, practical book/CD package hands you ready-to-apply tools that cover the vast majority of digital signal processing deployment challenges. You get more than 200 useful algorithms, mathematical models, and design procedures; code in both executable Windows and source forms; and a step-by-step approach to solving problems and selecting techniques. DSP Primer covers digital filtering methods, discrete transform techniques, digital spectra analysis, multirate and statistical signal processing, adaptive filtering, speech processing, and much more. The CD-ROM gives you C++ programs for immediately testing new techniques, a library of C++ classes ready for integration into your own applications, and sample data for algorithm evaluation and demonstration. With hands-on solutions for common problems, DSP Primer is the toolkit of choice for the most explosively growing area of electrical engineering.

Product Details

ISBN-13: 9780070540040
Publisher: McGraw-Hill Companies, The
Publication date: 10/01/1998
Edition description: BK&CD ROM
Pages: 560
Product dimensions: 7.74(w) x 9.60(h) x 1.92(d)

Table of Contents

PrefaceChapter 1: Some Essential Preliminaries Chapter 2: Continuous-Time Signals and Their Spectra Chapter 3: Noise Chapter 4: Linear Systems Chapter 5: Classical Analog Filters Chapter 6: Foundations of Digital Signal Processing Chapter 7: Transform Analysis of Chapter 8: Discrete Fourier Transform (DFT) Chapter 9: Fast Fourier Transforms Chapter 10: Windows for Filtering and Spectral Analysis Chapter 11: FIR Filter Fundamentals Chapter 12: FIR Filter Design: Window Method Chapter 13: FIR Filter Design: Frequency Chapter 14: FIR Filter Design: Remez Chapter 15: IIR Filter Fundamentals Chapter 16: IIR Filter Design: Invariance and Pole-Zero Placement Methods Chapter 17: IIR Filter Design: Bilinear Transformation Chapter 18: Multirate Signal Processing: Basic Concepts Chapter 19: Structures for Decimators and Interpolators Chapter 20: Advanced Multirate Techniques 341 Chapter 21: Random Signals and Sequences 353 Chapter 22: Parametric Models of Random Processes 379 (and more...)

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DSP Primer 5 out of 5 based on 0 ratings. 1 reviews.
Guest More than 1 year ago
An exceptional encyclopedia of DSP techniques, from signals and systems to analog filters, digital filter designs and advanced statistical signal processing techiques. It is truly the best book I have on my shelf (and I have quite a few on this subject). You can just go to a chapter and find the background and techniques. Before I found this book I would spend a lot of time hunting for the right book, then wade through the math to find out what the important information was and how to use it. You can contrast it to college texts that are overly theoretical, and beginner books that try to trivialize the subject by dealing only in audio and filters. Instead, I think this is an exceptional text for working professionals. The mathematics are kept to a respectable level, used for algorithms or when important theoretical concepts are introduced. Explanations are mostly jargon-free and concise (the exception being in the chapters on speech processing, but that whole field has its own vocabulary). Several topics such as filter design have procedures written step-by-step for easy use. I did not find the companion CD of any real use. It is a large collection of C++ classes, and I think the demonstration of various algorithms could be better done in a clean C function set without the class abstractions. Straight C for nasty functions like FFTs could be imported into an embedded processor for some real use. The treatment on statistical signal processing (especially in high-resolution spectrum estimation) could use some more background and qualitative discussion. Sadly there is almost no treatment on communications systems (matched filters and coders). However these are minor when compared to the vast wealth of knowledge contained in the overall text.