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James V. Candy - Bayesian Signal Processing: Classical, Modern, and Particle Filtering Methods - 9781119125457 - V9781119125457
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Bayesian Signal Processing: Classical, Modern, and Particle Filtering Methods

€ 152.45
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Description for Bayesian Signal Processing: Classical, Modern, and Particle Filtering Methods Hardback. Series: Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control. Num Pages: 640 pages, illustrations. BIC Classification: TJK; UYS. Category: (P) Professional & Vocational. Dimension: 167 x 244 x 40. Weight in Grams: 1028.
Presents the Bayesian approach to statistical signal processing for a variety of useful model sets This book aims to give readers a unified Bayesian treatment starting from the basics (Baye s rule) to the more advanced (Monte Carlo sampling), evolving to the next-generation model-based techniques (sequential Monte Carlo sampling). This next edition incorporates a new chapter on Sequential Bayesian Detection, a new section on Ensemble Kalman Filters as well as an expansion of Case Studies that detail Bayesian solutions for a variety of applications. These studies illustrate Bayesian approaches to real-world problems incorporating detailed particle filter designs, adaptive particle filters ... Read more

Product Details

Publisher
John Wiley and Sons Ltd
Format
Hardback
Publication date
2016
Series
Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control
Condition
New
Weight
1027g
Number of Pages
640
Place of Publication
Hoboken, United States
ISBN
9781119125457
SKU
V9781119125457
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-50

About James V. Candy
JAMES V. CANDY, PhD, is Chief Scientist for Engineering, a Distinguished Member of the Technical Staff, founder, and former director of the Center for Advanced Signal & Image Sciences at the Lawrence Livermore National Laboratory. He is also an Adjunct Full Professor at the University of California, Santa Barbara, a Fellow of the IEEE, and a Fellow of the Acoustical ... Read more

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