Understanding Digital Signal Processing. Third Edition. Richard G. Lyons. Upper Saddle River, NJ • Boston • Indianapolis • San Francisco. New York • Toronto. Understanding digital signal processing / Richard G. Lyons.—3rd ed. p. cm. . systems. • Numerous additions to the popular “Digital Signal Processing Tricks” chapter late s. In statistics the probability density function (PDF) of the sum. by any means, electronic, mechanical, photocopying, recording, scanning or Rest of Us!, The Dummies Way, Dummies Dail.
|Language:||English, Spanish, Hindi|
|Genre:||Academic & Education|
|Distribution:||Free* [*Registration needed]|
Author: Richard G. Lyons Understanding Digital Signal Processing, 3rd Edition. Read more Understanding Digital Signal Processing, Second Edition. Understanding Digital. Signal Processing. Richard G. Lyons. PRENTICE. HALL. PTR. PRENTICE HALL. Professional Technical Reference. Upper Saddle River. Understanding Digital. Signal Processing. Third Edition. Richard G. Lyons. Upper Saddle River, NJ • Boston • Indianapolis • San Francisco. New York • Toronto.
Reference  tells the full story. Volumes have been written about the FFT, and, as for no other innovation, the development of this algorithm transformed the discipline of digital signal processing by making the power of Fourier analysis affordable.
We conclude this chapter, for those readers wanting to know the internal details, with a derivation of the radix-2 FFT and introduce several different ways in which this FFT is implemented. For example, we ended up calculating the product of 1. On the other hand, the radix-2 FFT eliminates these redundancies and greatly reduces the number of necessary arithmetic operations. To show just how significant, Figure compares the number of complex multiplications required by DFTs and radix-2 FFTs as a function of the number of input data points N.
A two-million-point DFT, on the other hand, using your computer, will take more than three weeks! The publication and dissemination of the radix-2 FFT algorithm was, arguably, the most important event in digital signal processing.
Moreover, all of the performance characteristics of the DFT described in the previous chapter, output symmetry, linearity, output magnitudes, leakage, scalloping loss, etc. Down-to-earth, intuitive, and example-rich, this book helps readers thoroughly grasp the basics and quickly move on to more sophisticated techniques.
This edition adds extensive new coverage of quadrature signals, complete with easy-to-understand 3D drawings. Lyons has also provided more than twice as many DSP tips and tricks as in the first edition-including techniques even seasoned professionals may have overlooked.
Gives students insights and skills that even seasoned DSP professionals may have overlooked. NEW - Completely new chapter on specialized digital filters.
Teaches students crucial techniques for a wide range of telecommunications, data communications, and biomedical applications. NEW - Two new chapters on quadrature signals, with 3D drawings not found in other texts.
Helps students thoroughly understand DSP techniques that have become increasingly important in modern cellphones, satellite communications, and wireless devices. Intuitive, down-to-earth, and rich in well-chosen numerical examples-Written in a style that students have praised for its exceptional clarity and accessibility. Helps students master DSP as quickly and thoroughly as possible.
Practical focus-Stresses the practical aspects of signal processing, avoiding unnecessary mathematical coverage that is hard for beginners to digest. Makes DSP exceptionally accessible to students at all levels of experience. Comprehensive coverage of DSP concepts and techniques-Gives students a thorough grasp of the basics and the foundation they need to master more sophisticated DSP concepts and applications.
Prepares students for working on DSP applications in virtually any environment or industry. Table of Contents 1. Discrete Sequences and Systems.
Periodic Sampling. A scheme for generating discrete data to fit this function is discussed in Section This function, whose shape is shown in Figure D-8, is important because random data having this distribution is very useful in testing both software algorithms and hardware processors.
Likewise, References  Papoulis, A.
Probability and Statistics for Engineers, 2nd ed. Chapter Four. As the number of points in the DFT is increased to hundreds, or thousands, the amount of necessary number crunching becomes excessive.
In a paper was published by Cooley and Tukey describing a very efficient algorithm to implement the DFT. That algorithm is now known as the fast Fourier transform FFT.