Application of a sparse representation method using K-SVD to data compression of experimental ambient vibration data for SHM

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 7981, Issue , 2011, Pages

  Noh, Hae Young ^a   Kiremidjian, Anne S ^a  

^a Stanford University   (United States)

Author keywords

ambient vibration; data compression; k mean; K SVD; matching pursuit; singular value decomposition; sparse representation; structural health monitoring

Indexed keywords

AMBIENT VIBRATIONS; K-MEAN; K-SVD; MATCHING PURSUIT; SINGULAR VALUES; SPARSE REPRESENTATION; STRUCTURAL HEALTH;

ALGORITHMS; DAMAGE DETECTION; INFORMATION THEORY; MAINTENANCE; MONITORING; RESTORATION; SENSORS; SINGULAR VALUE DECOMPOSITION; STRUCTURAL FRAMES; STRUCTURAL HEALTH MONITORING; VIBRATIONS (MECHANICAL); WIRELESS SENSOR NETWORKS;

DATA COMPRESSION;

EID: 79956297424     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.881887     Document Type: Conference Paper

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