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Fast Algorithms for Signal Processing, by Richard E. Blahut
PDF Ebook Fast Algorithms for Signal Processing, by Richard E. Blahut
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Efficient signal processing algorithms are important for embedded and power-limited applications since, by reducing the number of computations, power consumption can be reduced significantly. Similarly, efficient algorithms are also critical to very large scale applications such as video processing and four-dimensional medical imaging. This self-contained guide, the only one of its kind, enables engineers to find the optimum fast algorithm for a specific application. It presents a broad range of computationally-efficient algorithms, describes their structure and implementation, and compares their relative strengths for given problems. All the necessary background mathematics is included and theorems are rigorously proved, so all the information needed to learn and apply the techniques is provided in one convenient guide. With this practical reference, researchers and practitioners in electrical engineering, applied mathematics, and computer science can reduce power dissipation for low-end applications of signal processing, and extend the reach of high-end applications.
- Sales Rank: #2604769 in Books
- Published on: 2010-08-16
- Original language: English
- Number of items: 1
- Dimensions: 9.72" h x 1.02" w x 6.85" l, 2.35 pounds
- Binding: Hardcover
- 466 pages
Review
'As long as most computer architectures are still classical, this book will be an excellent starting point to learn these algorithms and acquire the necessary (mathematical, algorithmic and number theoretic) background to understand them.' Mathematical Reviews
About the Author
Richard E. Blahut is a Professor of Electrical and Computer Engineering at the University of Illinois, Urbana-Champaign. He is Life Fellow of the IEEE and the recipient of many awards including the IEEE Alexander Graham Bell Medal (1998) and Claude E. Shannon Award (2005), the Tau Beta Pi Daniel C. Drucker Eminent Faculty Award, and the IEEE Millennium Medal. He was named a Fellow of the IBM Corporation where he worked for over 30 years in 1980, and was elected to the National Academy of Engineering in 1990.
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