Target detection and identification using canonical correlation analysis and subspace partitioning

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn , Issue , 2008, Pages 2117-2120

  Wang, Wei ^a   Adalt, Tülay ^a   Emge, Darren ^b  

^a UNIVERSITY OF MARYLAND BALTIMORE COUNTY   (United States)

^b EDGEWOOD CHEMICAL BIOLOGICAL CENTER   (United States)

Author keywords

Canonical correlation; Identification; Raman spectroscopy; Subspace partitioning; Target detection

Indexed keywords

CANONICAL CORRELATION; IDENTIFICATION; RAMAN SPECTROSCOPY; SUBSPACE PARTITIONING; TARGET DETECTION;

ACOUSTICS; ARCHITECTURAL ACOUSTICS; CORRELATION METHODS; SIGNAL PROCESSING; SPEECH; TARGET DRONES;

TARGETS;

EID: 51449097031     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2008.4518060     Document Type: Conference Paper

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4. W. Wang, T. Adal?, and D. Emge, "Unsupervised detection using canonical correlation analysis and its application to Raman spectroscopy," in Proc. IEEE Workshop on Machine Learning for Signal Processing, Thessaloniki, Greece, Aug. 2007.