Using the kernel trick in compressive sensing: Accurate signal recovery from fewer measurements

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

Volumn , Issue , 2011, Pages 3940-3943

  Qi, Hanchao ^a   Hughes, Shannon ^a  

^a UCB 450   (United States)

Author keywords

Compressive sensing; Kernel methods

Indexed keywords

COMPRESSIVE SENSING; GAUSSIAN RANDOM VECTORS; INNER PRODUCT; KERNEL METHODS; KERNEL TRICK; LOW-DIMENSIONAL MANIFOLDS; NATURAL IMAGES; NONLINEAR FUNCTIONS; ORTHONORMAL BASIS; RECOVERED SIGNALS; SHANNON SAMPLING THEOREM; SIGNAL RECOVERY;

MEAN SQUARE ERROR; MEASUREMENTS; RECOVERY; SIGNAL RECONSTRUCTION;

SPEECH COMMUNICATION;

EID: 80051653604     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2011.5947214     Document Type: Conference Paper

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