Bayesian Signal Processing 2E : Classical, Modern and Particle Filtering Methods
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Temin süremiz 28 - 42 iş günü
Yayıncı Wiley-Blackwell ( 08 / 2016 ) ISBN 9781119125457 | Ciltli | 15,75 x 23,62 x 3,81 cm | İngilizce | 640 Sayfa | Türler Elektrik-Elektronik
Bayesian Signal Processing için diğer satın alabilecekleriniz:
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 and sequential Bayesian detectors. In addition to these major developments a variety of sections are expanded to fill-in-the gaps of the first edition. Here metrics for particle filter (PF) designs with emphasis on classical sanity testing lead to ensemble techniques as a basic requirement for performance analysis. The expansion of information theory metrics and their application to PF designs is fully developed and applied.