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James V. Candy - Model-Based Signal Processing - 9780471236320 - V9780471236320
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Model-Based Signal Processing

€ 219.54
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Description for Model-Based Signal Processing Hardcover. Model-Based Signal Processing develops the "model-based approach" to signal processing for a variety of useful model sets including the popularly termed "physics-based" models. It presents a unique viewpoint of signal processing from the model-based perspective. Series: Adaptive and Learning Systems for Signal Processing, Communications and Control Series. Num Pages: 677 pages, illustrations. BIC Classification: TJK; UYS. Category: (P) Professional & Vocational. Dimension: 164 x 243 x 36. Weight in Grams: 1106.
A unique treatment of signal processing using a model-based perspective

Signal processing is primarily aimed at extracting useful information, while rejecting the extraneous from noisy data. If signal levels are high, then basic techniques can be applied. However, low signal levels require using the underlying physics to correct the problem causing these low levels and extracting the desired information. Model-based signal processing incorporates the physical phenomena, measurements, and noise in the form of mathematical models to solve this problem. Not only does the approach enable signal processors to work directly in terms of the problem's physics, instrumentation, ... Read more

Product Details

Format
Hardback
Publication date
2005
Publisher
John Wiley and Sons Ltd United States
Number of pages
677
Condition
New
Series
Adaptive and Learning Systems for Signal Processing, Communications and Control Series
Number of Pages
704
Place of Publication
, United States
ISBN
9780471236320
SKU
V9780471236320
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-50

About James V. Candy
JAMES V. CANDY, PhD, is Chief Scientist for Engineering, founder, and former director of the Center for Advanced Signal & Image Sciences at the University of California, Lawrence Livermore National Laboratory. Dr. Candy is also an Adjunct Full Professor at the University of California, Santa Barbara; a Fellow of the IEEE; and a Fellow of the Acoustical Society of America. ... Read more

Reviews for Model-Based Signal Processing
"Given its extensive, but very cohesive and accessible coverage…this book could be very well appreciated by both students and specialists in the field." (Computing Reviews.com, August 1, 2006) "...belongs in the library of every practicing signal processor." (Journal of the Acoustical Society of America, May 2006)

Goodreads reviews for Model-Based Signal Processing


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