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Digital Signal Processing with Examples in MATLAB®, Second Edition (Electrical Engineering & Applied Signal Processing Series)
 
 

Digital Signal Processing with Examples in MATLAB®, Second Edition (Electrical Engineering & Applied Signal Processing Series) [Hardcover]

Samuel D. Stearns (Author), Donald R. Hush (Author)
4.0 out of 5 stars  See all reviews (4 customer reviews)

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Book Description

0849310911 978-0849310911 August 28, 2002 1
In a field as rapidly expanding as digital signal processing, even the topics relevant to the basics change over time both in their nature and their relative importance. It is important, therefore, to have an up-to-date text that not only covers the fundamentals, but that also follows a logical development that leaves no gaps readers must somehow bridge by themselves.

Digital Signal Processing with Examples in MATLAB® is just such a text. The presentation does not focus on DSP in isolation, but relates it to continuous signal processing and treats digital signals as samples of physical phenomena. The author also takes care to introduce important topics not usually addressed in signal processing texts, including the discrete cosine and wavelet transforms, multirate signal processing, signal coding and compression, least squares systems design, and adaptive signal processing. He also uses the industry-standard software MATLAB to provide examples of signal processing, system design, spectral analysis, filtering, coding and compression, and exercise solutions. All of the examples and functions used in the text are available online at www.crcpress.com.

Designed for a one-semester upper-level course but also ideal for self-study and reference, Digital Signal Processing with Examples in MATLAB is complete, self-contained, and rigorous. For basic DSP, it is quite simply the only book you need.

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Editorial Reviews

Review

In a field as rapidly expanding as digital signal processing (DSP), even the basic topics change over time, both in nature and relative importance. It is important, therefore, to have an up-to-date text that not only covers the fundamentals but also follows a logical development that leaves no gaps that readers must somehow bridge by themselves. Digital Signal Processing with Examples in MATLAB is such a text.
- IEEE Signal Processing Magazine, Vol. 22, No. 4, July 2005

About the Author

Samuel D. Stearns is a professor emeritus at the University of New Mexico, where has been involved in adjunct teaching and research since 1960. An IEEE fellow, Dr. Stearns was also a distinguished member of the technical staff at Sandia National Laboratories for 27 years. His principal technical areas are DSP and adaptive signal processing.

Don R. Hush is a technical staff member at the Los Alamos National Laboratory. An IEEE senior member, Dr. Hush was previously a technical staff member at Sandia National Laboratories and a professor at the University of New Mexico. He was also an associate editor for IEEE Transactions on Neural Networks and IEEE Signal Processing Magazine.

--This text refers to an alternate Hardcover edition.

Product Details

  • Hardcover: 360 pages
  • Publisher: CRC Press; 1 edition (August 28, 2002)
  • Language: English
  • ISBN-10: 0849310911
  • ISBN-13: 978-0849310911
  • Product Dimensions: 9.1 x 3.5 x 1 inches
  • Shipping Weight: 15.2 ounces (View shipping rates and policies)
  • Average Customer Review: 4.0 out of 5 stars  See all reviews (4 customer reviews)
  • Amazon Best Sellers Rank: #1,818,416 in Books (See Top 100 in Books)

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16 of 16 people found the following review helpful:
5.0 out of 5 stars Great Practical DSP Book loaded with Matlab examples, February 9, 2004
By A Customer
This review is from: Digital Signal Processing with Examples in MATLAB®, Second Edition (Electrical Engineering & Applied Signal Processing Series) (Hardcover)
I used this book for a first course on DSP. This book is very practical. It is loaded with Matlab algorithms that will make your discrete signal processing simulation development enjoyable and challenging.
The Matlab examples cover just about every thing encountered in DSP development. It covers statistical signal analysis, adaptive filter design, FIR, IIR and other important topics.

Readers of this book should download the entire code examples used in this book off the website assigned to this book.

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5 of 6 people found the following review helpful:
2.0 out of 5 stars Misleading, October 1, 2006
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This review is from: Digital Signal Processing with Examples in MATLAB®, Second Edition (Electrical Engineering & Applied Signal Processing Series) (Hardcover)
I bought this text as a self-study aid, primarily because the book is advertised as including the solutions to the problems at the end of each chapter. I was very disappointed to find that the answers are provided, but the zip files for the solutions are password protected and made available to only universities. What a shamocary. Other than that, the book has proved to be very light in the discussion section and heavy in the problem sets - so the solutions are very much needed to derive any good use from the material.

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5.0 out of 5 stars Phd in DSP, January 5, 2009
This review is from: Digital Signal Processing with Examples in MATLAB®, Second Edition (Electrical Engineering & Applied Signal Processing Series) (Hardcover)
This is a nice text in Digital Signal Processing. It is ideal for Junior or Senior level undergraduates who have not been previously exposed to the subject. The combination of mathematical theory with Matlab examples allows students to gain confidence in their work and quickly visualize results.
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Inside This Book (learn more)
First Sentence:
Digital signal processing (DSP) has become an established area of electrical and computer engineering in relatively recent times. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
maximum stopband gain, power gain plots, lower subplot, multirate processing, power gain function, causal linear system, discrete plot, power spectral estimation, true power spectrum, ideal impulse response, boxcar window, digital signal analysis, amplitude gain, interference canceling, optimal weight vector, two subplots, signal vector, exact recovery, waveform vector, periodic convolution, sample vector, entropy limit, symbol frequencies, power density spectrum, nonoverlapping segments
Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, Prentice Hall, Englewood Cliffs, John Wiley, Upper Saddle River, Academic Press, Bell System Tech, Discrete Cosine Transform, Exercises General Instructions, Speech Signal Process, Asilomar Conference, Kluwer Academic Publishers, Date Intensity, Digital Computer, Digital Processing of Signals, Repeat Exercise
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