Fast anomaly detection in SmartGrids via sparse approximation theory

Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop

Volumn , Issue , 2012, Pages 5-8

  Levorato, Marco ^a,b   Mitra, Urbashi ^b  

^a Stanford University   (United States)

^b University of Southern California   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ANOMALOUS BEHAVIOR; ANOMALY DETECTION; COMMUNICATION INFRASTRUCTURE; COMPRESSION APPROACH; DIMENSION REDUCTION; INDIVIDUAL COMPONENTS; NUMBER OF COMPONENTS; NUMERICAL RESULTS; ORDERS OF MAGNITUDE; PHYSICAL COMPONENTS; SMART GRID; SPARSE APPROXIMATIONS;

ALGORITHMS; RANDOM PROCESSES; SENSORS; SIGNAL PROCESSING;

APPROXIMATION THEORY;

EID: 84867219237     PISSN: None     EISSN: 2151870X     Source Type: Conference Proceeding    
DOI: 10.1109/SAM.2012.6250561     Document Type: Conference Paper

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