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Digital Signal Processing: Spectral Computation and Filter Design
 
 

Digital Signal Processing: Spectral Computation and Filter Design [Hardcover]

Chi-Tsong Chen

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Designed for a first course in digital signal processing, Digital Signal Processing: Spectral Computation and Filter Design covers two major topics: the computation of frequency contents of signals and the design of digital filters. While it focuses on basic ideas and procedures and covers the standard topics in the field, this unique text distinguishes itself from competing texts by extensively employing the fast Fourier transform (FFT). Part 1: Spectral Computation deals with continuous-time (CT), discrete-time (DT), and digital signals; CT and DT Fourier series (frequency components); CT and DT Fourier transforms (frequency spectra); and discrete Fourier transform (DFT) and fast Fourier transform (FFT). Part 2: Digital Filter Design discusses linear time-invariant lumped systems; ideal and practical digital filters; design of FIR digital filters; design of IIR filters; and structures of digital filters. Digital Signal Processing covers numerous topics not found in similar texts. It: DT Establishes a simplified version of the sampling theorem for periodic signals DT Uses FFT to compute frequency spectra of DT and CT signals and inverse FFT to compute DT and CT signals from their frequency spectra DT Employs FFT to compute the inverse z-transform DT Covers steady-state and transient responses of digital filters and gives an estimated time for a transient response to die out DT Gives a mathematical justification for using an antialiasing analog filter in digital signal processing DT Introduces a discrete least-squares method to design FIR filters DT Presents an analog bandstop transformation that yields better results than ones generated by MATLABRG Digital Signal Processing features careful definitions of all terminology and a wealth of examples and problems. All numerical examples and most end-of-chapter problems are simple enough to be solved analytically by hand; these results can then be compared with the computer-generated solutions. MATLABRG is an integral part of the text.

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Anything that bears information can be considered a signal. Read the first page
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Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
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Amazon.com: 2.0 out of 5 stars (2 customer reviews)

2 of 2 people found the following review helpful
3.0 out of 5 stars Not much you won't find everywhere else, Dec 17 2001
By John D. Davis - Published on Amazon.com
This review is from: Digital Signal Processing: Spectral Computation and Filter Design (Hardcover)
This is a not too bad but not too good discussion of all the usual DSP topics. The author chooses to do some very strange things, for example there is no explicit use of normalized frequency, but when discussing filter design it is used without much mention which could be very confusing. Good points for the book are some interesting MATLAB routines, and fairly comprehensive coverage at a junior/senior level. I'd suggest McClellan's DSP First, Steiglitz's Digital Signal Processing Primer, and Intro. to Signal Processing by Orfanidis over this for someone who really wants to understand things. If you already do understand the material and are looking for a supplemental reference, Mitra or O&S seem like better choices to me.

0 of 2 people found the following review helpful
1.0 out of 5 stars very bad, Oct 1 2009
By Fyad Russel Ibrahim "FRI" - Published on Amazon.com
Amazon Verified Purchase(What's this?)
This review is from: Digital Signal Processing: Spectral Computation and Filter Design (Hardcover)
This is the outdated edition. The book doesn't match the picture.The seller should be reported for that
 Go to Amazon.com to see both reviews  2.0 out of 5 stars 

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