A least square approach for bidimensional source separation using higher order statistics criteria

European Signal Processing Conference

Volumn , Issue , 2008, Pages

  Khan, Amir A ^a   Vrabie, Valeriu ^b   Mars, Jérôme I ^a   Girard, Alexandre ^c  

^a GIPSA LAB   (France)

^b UNIVERSITÉ DE REIMS CHAMPAGNE ARDENNE   (France)

^c EDF R AND D   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ANOMALY DETECTION; COHERENT FACTOR; DISTRIBUTED TEMPERATURE SENSOR; ENERGETIC SOURCE; GROUND RESPONSE; LEAST SQUARE; LEAST SQUARE APPROACH; ORTHOGONALITY CONDITIONS; OVERLAPPING WINDOW; RESEARCH PROBLEMS; TEMPORAL VARIATION; UNMIXING;

HIGHER ORDER STATISTICS; RAILROAD TRACKS; RISK PERCEPTION;

SIGNAL ANALYSIS;

EID: 84863741481     PISSN: 22195491     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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