Controlling tradeoff between approximation accuracy and complexity of a smooth function in a reproducing kernel hilbert space for noise reduction

IEEE Transactions on Signal Processing

Volumn 61, Issue 3, 2013, Pages 601-610

  Lu, Xugang ^a   Unoki, Masashi ^b   Matsuda, Shigeki ^b   Hori, Chiori ^a   Kashioka, Hideki ^a  

^a NATIONAL INSTITUTE OF INFORMATION AND COMMUNICATIONS TECHNOLOGY   (Japan)

^b JAPAN ADVANCED INSTITUTE OF SCIENCE AND TECHNOLOGY   (Japan)

Author keywords

Function approximation; Noise reduction; Regularization; Reproducing kernel Hilbert space; Speech distortion

Indexed keywords

FUNCTION APPROXIMATION; FUNCTION APPROXIMATION PROBLEMS; NOISE REDUCTION ALGORITHMS; NONLINEAR MAPPING FUNCTIONS; REGULARIZATION; REPRODUCING KERNEL HILBERT SPACES; ROBUST SPEECH RECOGNITION; SPEECH DISTORTION;

ALGORITHMS; ESTIMATION; SPEECH ENHANCEMENT; SPEECH RECOGNITION;

NOISE ABATEMENT;

EID: 84897709980     PISSN: 1053587X     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSP.2012.2229991     Document Type: Article

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