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Analog & Digital Signal Processing, by John Kronenburger, John Sebeson
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Analog & Digital Signal Processing: A Computational Approach provides a thorough yet mathematically accessible introduction to signal processing. With the increasing presence of digital signal processing (DSP) in everyday life, in the form of devices such as CD and DVD players, digital cameras, wireless telephones, and voice recognition, it has accordingly become a central element in the design of a variety of systems and applications. This book responds to this trend by presenting readers with a strong foundation of fundamental DSP concepts and designs. Unlike traditional DSP books, a computational approach is used to help readers spend less time deciphering mathematical complexities and more time implementing practical DSP techniques. MATLAB, an industry favorite scientific software package, is used to conduct the computations of the concepts discussed. With coverage of introductory concepts such as sampling, frequency analysis, transfer functions, and filter design, as well as advanced topics like statistical signal processing, adaptive filters, image processing, and wavelet analysis, this is an ideal resource for readers of all levels who are seeking a comprehensive understanding of relevant DSP concepts for today's industry professionals.
- Sales Rank: #2208612 in Books
- Brand: Brand: Delmar Cengage Learning
- Published on: 2007-09-21
- Original language: English
- Number of items: 1
- Dimensions: 1.22" h x 7.48" w x 9.56" l, 2.77 pounds
- Binding: Hardcover
- 800 pages
- Used Book in Good Condition
Review
Jeffrey Schwartz, DeVry, Long Island City, NY: "I was very impressed by how well the MATLAB programs were integrated into the text and greatly helped my understanding of the concepts, some of which I had only read about but of which I had never seen the results… The tone and writing style were perfect for this textbook."
Abdulmagi Omar, DeVry, Chicago, IL: "Some of the strengths of the textbook are: the investigation of the concepts and ideas in the topics using Matlab, the smooth and easy to follow presentation of the topics, and the practical examples presented as applications on the topics."
Rick Henderson, DeVry, Kansas City, MO: "The author's tone and writing style are very good and relatively easy to understand. The chapter introductions are concise and well stated. The explanation of the topics is well written and should be able to be understood by an average undergraduate student. The tone is non-threatening and written on a "let's figure this out" explanatory approach. The top three strengths of this book are the author's ability to describe the concepts, the range of choice of topics included in the book and the degree and breadth of the Matlab examples."
Most helpful customer reviews
3 of 3 people found the following review helpful.
Excellent book
By A Reader
This book offers an excellent combination of written explanations and Matlab examples. I'm using it in combination with Proakis's DSP book, and I'm finding that if I want to get an idea of what Proakis is talking about, I need to read Kronenburger first. A good example is Kronenburger's explanation of linear phase. With two simple Matlab examples (signals combined to show phase distortion and signals combined to show linear phase with no distortion), an intuitive understanding of "what is linear phase, anyway?" was provided. Many other topics are similarly treated. The Matlab examples are plentiful and very instructive. I'm very glad that I purchased this book, it has helped me tremendously.
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