Sub-optimum fast Bayesian techniques for joint leak detection and localisation

IET Wireless Sensor Systems

Volumn 3, Issue 3, 2013, Pages 239-246

  Roufarshbaf, Hossein ^a   Castro, Joel ^a   Schwaner, Fred ^a   Abedi, Ali ^a  

^a The University of Maine   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN INFERENCE MODEL; BAYESIAN TECHNIQUES; ENVIRONMENTAL NOISE; ESTIMATION PRECISION; LIKELIHOOD FUNCTIONS; MAXIMUM A POSTERIORI SOLUTIONS; PARTICLE FILTERING; ULTRASONIC SIGNALS;

ACOUSTIC SIGNAL PROCESSING; ALGORITHMS; CYTOLOGY; FORESTRY; LEAK DETECTION; MAXIMUM LIKELIHOOD ESTIMATION; TREES (MATHEMATICS); ULTRASONIC APPLICATIONS; WIRELESS SENSOR NETWORKS;

CELLS;

ALGORITHMS; FORESTRY; MATHEMATICS; TREES;

EID: 84882961158     PISSN: 20436386     EISSN: 20436394     Source Type: Journal    
DOI: 10.1049/iet-wss.2012.0137     Document Type: Article

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