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Candy, James V.
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Bayesian signal processing: classical, modern and particle filtering methods
Candy J., Wiley-Interscience, New York, NY, 2009. 445 pp. Type: Book (9780470180945), Reviews: (2 of 2)
This book motivates the use of Bayesian models for signal processing from a probabilistic perspective. The author shows the connection between classic model-based signal processing that relies on prior knowledge and the probabilistic B...
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Oct 23 2009
Bayesian signal processing: classical, modern and particle filtering methods
Candy J., Wiley-Interscience, New York, NY, 2009. 445 pp. Type: Book (9780470180945), Reviews: (1 of 2)
This is one of the best texts on advanced signal processing. This is not surprising, considering Candy’s previous textbook [1]....
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Oct 20 2009
Model-based signal processing (Wiley Series in Adaptive and Learning Systems for Signal Processing, Communications and Control)
Candy J., Wiley-IEEE Press, New York, NY, 2005. 677 pp. Type: Book (9780471236320)
In order to maximize useful signal quality in low signal-to-noise ratio processing, the use of a priori information or models for both the expected and the random signals is recommended. This work addresses model-based signal processin...
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Aug 1 2006
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