Discrete-Time Signal Processing (2nd Edition) (Prentice-Hall Signal Processing Series)
by Alan V. Oppenheim, John R. Buck, Ronald W. Schafer
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Book Summary Information
Author: Alan V. Oppenheim, John R. Buck, Ronald W. SchaferEdition: Hardcover
Audio: English (Original Language); English (Unknown); English (Published)
Published: 1999-01-10
ISBN: 0137549202
Number of pages: 870
Publisher: Prentice Hall
Book Reviews of Discrete-Time Signal Processing (2nd Edition) (Prentice-Hall Signal Processing Series)
Book Review: For The Advanced
Summary: 4 Stars
This book is widely accepted as the standard graduate level text for Discrete Time Signal Processing. Personally I think it could use a bit of elaboration and the figures and graphs should be improved upon.
I must say that for the most part it is comprehensive and thorough in dealing with this subject matter. Some of the trickier nuances are lost in this treatment of the subject.
I would highly advise this book to anyone who has a firm and solid foundation in subjects such as DSP, communications and possibly transform mathmatics. I would not under any circumstance advise this book as a starting point!
Additionally, due to the nature and level of this material... I would suggest a study guide to accompany. Having been out of school for only four years I entered an online masters program... I am expected to teach myself from the book, I have found the study guide to be necessary.
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Summary of Discrete-Time Signal Processing (2nd Edition) (Prentice-Hall Signal Processing Series)
Presents the knowledge necessary for an appreciation of the wide scope of applications for discrete-time signal processing and a foundation for contributing to future developments in this technology. DLC: Signal processing--Mathematics.This is the standard text for introductory advanced undergraduate and first-year graduate level courses in signal processing. The text gives a coherent and exhaustive treatment of discrete-time linear systems, sampling, filtering and filter design, reconstruction, the discrete-time Fourier and z-transforms, Fourier analysis of signals, the fast Fourier transform, and spectral estimation. The author develops the basic theory independently for each of the transform domains and provides illustrative examples throughout to aid the reader. Discussions of applications in the areas of speech processing, consumer electronics, acoustics, radar, geophysical signal processing, and remote sensing help to place the theory in context. The text assumes a background in advanced calculus, including an introduction to complex variables and a basic familiarity with signals and linear systems theory. If you have this background, the book forms an up-to-date and self-contained introduction to discrete-time signal processing that is appropriate for students and researchers. Discrete-Time Signal Processing also includes an extensive bibliography.
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