Provides well balanced, detailed coverage of the techniques of signal processing in both the analog and digital domains and the ways in which they are linked in practical applications. Topics include spectral analysis of continuous and discrete signals, analysis of continuous and discrete systems and networks using transform methods, design of analog and digital filters, digitization of analog signals, power spectrum estimation of stochastic signals, the fast Fourier transform algorithms, finite word-length effects in digital signal processors and linear estimation and adaptive filtering.
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Book Description
Editorial Reviews
Review
"I like this book and recommend it as an introduction for home use, students and software engineers." (CVu - Jnl of the Association of C C++ Users, October 2001)
"the book is excellent for postgraduates and those new to the field" (Times Higher Education Supplement - Textbook Guide, 30 November 2001)
"Irish engineer Baher thinks it is time to introduce some areas of signal processing into the undergraduate curriculum that have traditionally been reserved for graduates." (SciTech Book News, Vol. 25, No. 4, December 2001)
"this book provides a comprehensive yet concise discussion of the principles of analogue and digital signal processing ..... recommended to the determined student." (CVu February 2002) --This text refers to an alternate Paperback edition.
"the book is excellent for postgraduates and those new to the field" (Times Higher Education Supplement - Textbook Guide, 30 November 2001)
"Irish engineer Baher thinks it is time to introduce some areas of signal processing into the undergraduate curriculum that have traditionally been reserved for graduates." (SciTech Book News, Vol. 25, No. 4, December 2001)
"this book provides a comprehensive yet concise discussion of the principles of analogue and digital signal processing ..... recommended to the determined student." (CVu February 2002) --This text refers to an alternate Paperback edition.
From the Publisher
Provides well balanced, detailed coverage of the techniques of signal processing in both the analog and digital domains and the ways in which they are linked in practical applications. Topics include spectral analysis of continuous and discrete signals, analysis of continuous and discrete systems and networks using transform methods, design of analog and digital filters, digitization of analog signals, power spectrum estimation of stochastic signals, the fast Fourier transform algorithms, finite word-length effects in digital signal processors and linear estimation and adaptive filtering.
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0 of 5 people found the following review helpful:
4.0 out of 5 stars
Well written textbook.,
By Peadar (Éire) - See all my reviews
This review is from: Analog and Digital Signal Processing (Paperback)
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Inside This Book
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First Sentence:
A signal is a physical quantity, or quality, which conveys information. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
prototype transfer function, digital transfer function, corresponding time function, linear phase property, passband edge, stopband edge, convolution relation, time domain corresponds, complex frequency domain, cascade realization, coefficient quantization, finite energy signals, impulse response sequence, strict stability, transformed network, quantizing step, infinite train, output noise power, prototype specifications, cascade form, kaiser window, periodic train, critical sampling, autocorrelation sequence, orthogonality principle Key Phrases - Capitalized Phrases (CAPs): (learn more)
Bertrand Russell, Consider Fig New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
A signal is a physical quantity, or quality, which conveys information. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
prototype transfer function, digital transfer function, corresponding time function, linear phase property, passband edge, stopband edge, convolution relation, time domain corresponds, complex frequency domain, cascade realization, coefficient quantization, finite energy signals, impulse response sequence, strict stability, transformed network, quantizing step, infinite train, output noise power, prototype specifications, cascade form, kaiser window, periodic train, critical sampling, autocorrelation sequence, orthogonality principle Key Phrases - Capitalized Phrases (CAPs): (learn more)
Bertrand Russell, Consider Fig 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 15
books:
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9
books
cite this book:
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- Matrix Theory, Vol. 2 by Felix R. Gantmacher in Back Matter
- Mathematical Analysis by Wiley in Back Matter
- Laplace Transform (Mathematics Series) by D. V. Widder in Back Matter
- Theory of Electrical Filters by J. Rhodes in Back Matter
- The Development of Mathematics by E. T. Bell in Back Matter
See all 15 books this book cites
- Signal Analysis: Time, Frequency, Scale, and Structure by Ronald L. Allen on 4 pages
- Novel Sensors and Sensing (Series in Sensors) by Roger G. Jackson on page 257
- A Handbook of Circuit Math for Technical Engineers by Robert L. Libbey in Back Matter
- Introduction to Random Signals and Noise by Wim C. Van Etten in Back Matter
- DSP Applications Using C and the TMS320C6x DSK by Rulph Chassaing on page 157
See all 9 books citing this book
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