Bayesian signal processing : classical, modern, and particle filtering methods
Bayesian-based signal processing is expected to dominate the future of model-based signal processing for years to come. This book develops the 'Bayesian approach' to statistical signal processing for a variety of useful model sets with an emphasis on nonlinear/non-Gaussian problems, as wel...
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Main Author: | |
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Format: | eBook |
Language: | English |
Published: |
Hoboken, New Jersey :
John Wiley & Sons Inc.,
[2016]
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Edition: | Second edition. |
Series: | Wiley series on adaptive and cognitive dynamic systems.
Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control Ser. ; 54. |
Subjects: | |
ISBN: | 9781119125471 1119125472 9781119125495 1119125499 9781523114887 1523114886 1119125456 9781119125457 9781119125488 1119125480 |
Physical Description: | 1 online resource |
Summary: | Bayesian-based signal processing is expected to dominate the future of model-based signal processing for years to come. This book develops the 'Bayesian approach' to statistical signal processing for a variety of useful model sets with an emphasis on nonlinear/non-Gaussian problems, as well as classical techniques. |
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Item Description: | Includes index. |
Bibliography: | Includes bibliographical references at the end of each chapters and index. |
ISBN: | 9781119125471 1119125472 9781119125495 1119125499 9781523114887 1523114886 1119125456 9781119125457 9781119125488 1119125480 |
Access: | Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty |