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 concept-the 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: | Inglés |
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Hoboken, N.J. :
Wiley
c2009.
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| Edition: | 1st edition |
| Series: | Wiley series in adaptive and learning systems for signal processing, communications, and control
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| Subjects: | |
| See on Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009627991606719 |
| Summary: | New Bayesian approach helps you solve tough problems in signal processing with ease Signal processing is based on this fundamental concept-the 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 |
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| Item Description: | Description based upon print version of record. |
| Physical Description: | 1 online resource (471 p.) |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9781282316683 9786612316685 9780470430583 9780470430576 |
