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Volumn 64, Issue 1, 2015, Pages 27-38

Detection and classification of power quality disturbances using sparse signal decomposition on hybrid dictionaries

Author keywords

Compressed sensing; disturbance classification; overcomplete dictionary; power quality (PQ) signal analysis; power system monitoring; sparse representation

Indexed keywords

COMPRESSED SENSING; DATA MINING; DECISION TREES; MATHEMATICAL TRANSFORMATIONS; POWER QUALITY; SIGNAL DISTORTION; SIGNAL PROCESSING; SIGNAL RECONSTRUCTION; TREES (MATHEMATICS);

EID: 84918582419     PISSN: 00189456     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIM.2014.2330493     Document Type: Article
Times cited : (194)

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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.