Bayesian Signal Processing: Classical, Modern, and Particle Filtering Methods: Second Edition

Bayesian Signal Processing: Classical, Modern, and Particle Filtering Methods: Second Edition

Volumn , Issue , 2016, Pages 1-601

  Candy, James V ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE FILTERING; ADAPTIVE FILTERS; BAYESIAN NETWORKS; DISTRIBUTED COMPUTER SYSTEMS; INFORMATION FILTERING; INFORMATION THEORY; KALMAN FILTERS; MATLAB; PROBLEM SOLVING; SOFTWARE TESTING; STATISTICAL TESTS;

ADAPTIVE PARTICLE FILTERS; COMPREHENSIVE METHOD; ENSEMBLE KALMAN FILTER; MODEL BASED TECHNIQUES; PARTICLE FILTER DESIGN; PARTICLE FILTERING METHODS; PERFORMANCE ANALYSIS; SEQUENTIAL MONTE CARLO SAMPLING;

MONTE CARLO METHODS;

EID: 85006922146     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1002/9781119125495     Document Type: Book

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