Bayesian signal processing classical, modern, and particle filtering methods
New Bayesian approach helps you solve tough problems in signal processing with ease. Signal processing is based on this fundamental conceptthe extraction of critical information from noisy, uncertain data. Most techniques rely on underlying Gaussian assumptions for a solution, but what happens when...
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| Format: | eBook |
| Language: | English |
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Hoboken, N.J.
Wiley
2009
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| Series: | Adaptive and learning systems for signal processing, communications, and control
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| Online Access: | |
| Collection: | O'Reilly - Collection details see MPG.ReNa |
| Summary: | New Bayesian approach helps you solve tough problems in signal processing with ease. Signal processing is based on this fundamental conceptthe extraction of critical information from noisy, uncertain data. Most techniques rely on underlying Gaussian assumptions for a solution, but what happens when these assumptions are erroneous? Bayesian techniques circumvent this limitation by offering a completely different approach that can easily incorporate non-Gaussian and nonlinear processes along with all of the usual methods currently available. This text enables readers to fully exploit the many a |
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| Physical Description: | xxiii, 445 pages illustrations, map |
| ISBN: | 0470180943 0470430583 9781118210543 0470430575 9780470430583 9780470180945 9780470430576 1118210549 |