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: | Elektronisch E-Book |
| Sprache: | English |
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Hoboken, N.J.
Wiley
[2009]
Hoboken, N.J. IEEE [2009] |
| Schriftenreihe: | Adaptive and learning systems for signal processing, communications, and control
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| series2 | Adaptive and learning systems for signal processing, communications, and control |
| spelling | Candy, James V. VerfasserIn aut Bayesian signal processing classical, modern, and particle filtering methods James V. Candy Hoboken, N.J. Wiley [2009] Hoboken, N.J. IEEE [2009] ©2009 1 online resource (xxiii, 445 pages) illustrations, map Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Adaptive and learning systems for signal processing, communications, and control Includes bibliographical references and index. - Print version record 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. Signal processing Mathematics Bayesian statistical decision theory Traitement du signal ; Mathématiques Théorie de la décision bayésienne COMPUTERS ; Information Theory TECHNOLOGY & ENGINEERING ; Signals & Signal Processing Signal processing ; Mathematics 9780470180945 Erscheint auch als Druck-Ausgabe 9780470180945 TUM01 ZDB-30-ORH TUM_PDA_ORH https://learning.oreilly.com/library/view/-/9781118210543/?ar X:ORHE Aggregator lizenzpflichtig Volltext |
| spellingShingle | Candy, James V. Bayesian signal processing classical, modern, and particle filtering methods Signal processing Mathematics Bayesian statistical decision theory Traitement du signal ; Mathématiques Théorie de la décision bayésienne COMPUTERS ; Information Theory TECHNOLOGY & ENGINEERING ; Signals & Signal Processing Signal processing ; Mathematics |
| title | Bayesian signal processing classical, modern, and particle filtering methods |
| title_auth | Bayesian signal processing classical, modern, and particle filtering methods |
| title_exact_search | Bayesian signal processing classical, modern, and particle filtering methods |
| title_full | Bayesian signal processing classical, modern, and particle filtering methods James V. Candy |
| title_fullStr | Bayesian signal processing classical, modern, and particle filtering methods James V. Candy |
| title_full_unstemmed | Bayesian signal processing classical, modern, and particle filtering methods James V. Candy |
| title_short | Bayesian signal processing |
| title_sort | bayesian signal processing classical modern and particle filtering methods |
| title_sub | classical, modern, and particle filtering methods |
| topic | Signal processing Mathematics Bayesian statistical decision theory Traitement du signal ; Mathématiques Théorie de la décision bayésienne COMPUTERS ; Information Theory TECHNOLOGY & ENGINEERING ; Signals & Signal Processing Signal processing ; Mathematics |
| topic_facet | Signal processing Mathematics Bayesian statistical decision theory Traitement du signal ; Mathématiques Théorie de la décision bayésienne COMPUTERS ; Information Theory TECHNOLOGY & ENGINEERING ; Signals & Signal Processing Signal processing ; Mathematics |
| url | https://learning.oreilly.com/library/view/-/9781118210543/?ar |
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