A comprehensive, practical and up-to-date exposition on digital signal processing. Both mathematical and useful, this book uses a rigorous approach to help readers learn the theory and practice of DSP. It discusses practical spectral analysis, including the use of windows for spectral analysis, sinusoidal signal analysis, and the effect of noise. It also covers FIR and IIR filters, including detailed design procedures and MATLAB tools.
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This book provides readers with a precise, comprehensive, practical, and up-to-date exposition on digital signal processing. Both mathematical and useful, it presents a rigorous course of study to help readers learn the theory and practice of DSP. Porat includes physical and engineering application, coupled with mathematical derivations to the extent necessary for understanding DSP concepts and methods. The book contains detailed discussion of practical spectral analysis, including the use of windows for spectral analysis, sinusoidal signal analysis, and the effect of noise. There is also comprehensive treatment of both FIR and IIR filters, including detailed design procedures and MATLAB tools.
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11 of 12 people found the following review helpful:
4.0 out of 5 stars
A good, concise overview,
By A Customer
This review is from: A Course in Digital Signal Processing (Paperback)
I am using the text in a DSP course as an undergrad in Electrical Engineering. It is a very clearly written, precise text that I feel is written for the undergraduate/first-year graduate who is taking a first course in DSP. Because of this, the author tends to omit some important details that other books include, particularly Oppenheim and Schafer (the intro DSP bible, as it were). This can be a great help to busy students who want a basic understanding of the theory behind DSP without caring too much about its nuances.The disadvantage of the author's conciseness is a general lack of thorough descriptions of complicated ideas. Many ideas are paraphrased rather than explained in full, which I suppose is natural at this level. For example, when discussing the concept of sampling random signals, Porat notes that "White noise cannot be sampled" because it "does not exist as a physical entity." This statement, while true, is incomplete, as any knowledgable DSP expert can attest. That MATLAB code, while present, is sparse and incomplete. I suppose this is better than nothing, but don't expect a computer-based approach to problems! Otherwise, this book has proven a solid, easily understandable (with the proper math background) textbook for a first-level course in DSP after a standard Signal Processing course. If you're looking for more detail, go with Oppenheim and Schafer.
7 of 8 people found the following review helpful:
3.0 out of 5 stars
Watch out for the weird notation and terrible problems,
By A Customer
This review is from: A Course in Digital Signal Processing (Paperback)
While the discussion in this book is probably all accurate, the book has two problems that make it better suited as a supplemental reference than a course text. First, the author uses a very strange notation for transforms that seems to be of his own devising. Second, a number of the problems are poorly written making it very hard to see what he is even asking. A third problem worth noting is that there doesn't seem to be a Fourier transform table anywhere in the book. If you are coming to this book from other DSP texts or Signals and Systems books get ready to work just to figure out what he's talking about.
4 of 5 people found the following review helpful:
4.0 out of 5 stars
stringent introduction to digital signal processing,
By A Customer
This review is from: A Course in Digital Signal Processing (Paperback)
I liked this book. The author starts with a review of frequency domain analysis (good in case it has been some time you dealt with that, like me) then moves on in consecutive chapters with a reasonable amount of examples for every topic. I liked the clear presentation of the Z-transform. I also use the book now as a reference book although it's not optimal for that purpose. The author supplies many exercise problems at the end of each chapter, but most of them are quite hard to solve, especially if you have no other background than the book itself.
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Inside This Book
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Key Phrases - Statistically Improbable Phrases (SIPs):
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decimation identity, impulse response truncation, filter whose specifications, coupled realization, practical spectral analysis, asymptotic attenuation, truncation arithmetic, cascade realization, constant phase delay, impulse invariant method, decimated signal, polyphase components, coherent gain, generalized linear phase, covariance sequence, equiripple design, subband processing, mth symbol, filter design procedure, kaiser window, polyphase decomposition, whenever the right side, parallel realization, interpolated signal, bilinear transform Key Phrases - Capitalized Phrases (CAPs): (learn more)
Programs Program, Repeat Problem, United States, Recall Problem, Signal Processing Toolbox, Use the Cauchy-Schwarz New!
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Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
decimation identity, impulse response truncation, filter whose specifications, coupled realization, practical spectral analysis, asymptotic attenuation, truncation arithmetic, cascade realization, constant phase delay, impulse invariant method, decimated signal, polyphase components, coherent gain, generalized linear phase, covariance sequence, equiripple design, subband processing, mth symbol, filter design procedure, kaiser window, polyphase decomposition, whenever the right side, parallel realization, interpolated signal, bilinear transform Key Phrases - Capitalized Phrases (CAPs): (learn more)
Programs Program, Repeat Problem, United States, Recall Problem, Signal Processing Toolbox, Use the Cauchy-Schwarz New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
This book cites 10
books:
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13
books
cite this book:
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- Discrete Cosine Transform: Algorithms, Advantages, Applications by K. Ramamohan Rao in Back Matter
- Multirate Digital Signal Processing: Multirate Systems - Filter Banks - Wavelets by N. J. Fliege in Back Matter
- Signals and Linear Systems by Robert A. Gabel in Back Matter
- Digital Processing of Random Signals: Theory and Methods/Book and Disk (Prentice Hall Information and System Sciences Series) by Boaz Porat in Front Matter
- Multirate Digital Signal Processing by Crochiere in Back Matter
See all 10 books this book cites
- Understanding Digital Subscriber Line Technology by Thomas Starr on page 288
- Signal Analysis and Prediction by Ales Prochazka on page 226
- Encyclopedia of Microcomputers: Volume 24 - Supplement 3: Characterization Hierarchy Containing Augmented Characterizations to Video Compression (Microcomputers Encyclopedia) by Allen Kent on page 122
- Introduction to Digital Video, Second Edition by John Watkinson on page 156
- Convergence in Broadcast and Communications Media by John Watkinson on page 172
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