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Making sense of randomness: Fast signal recovery from compressive samples.

, , and . EUSIPCO, page 56-60. IEEE, (2016)

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Significance of image representation for face verification., , and . Signal, Image and Video Processing, 1 (3): 225-237 (2007)Compressed sensing for unit selection based speech synthesis., , and . EUSIPCO, page 1731-1735. IEEE, (2015)Sparse coding based features for speech units classification., , , and . INTERSPEECH, page 712-715. ISCA, (2015)Laplacian of smoothed image as representation for face recognition., and . WIFS, page 1-6. IEEE Computer Society, (2011)Gradient Profile Based Super Resolution of MR Images with Induced Sparsity., and . MICCAI (1), volume 11070 of Lecture Notes in Computer Science, page 109-117. Springer, (2018)A syllable-based framework for unit selection synthesis in 13 Indian languages., , , , , , , , , and 21 other author(s). O-COCOSDA/CASLRE, page 1-8. IEEE, (2013)Voiced/nonvoiced detection in compressively sensed speech signals., , and . Speech Communication, (2015)On the use of phase of the Fourier transform for face recognition under variations in illumination., and . Signal, Image and Video Processing, 4 (3): 353-358 (2010)Edge extraction using zero-frequency resonator., and . Signal, Image and Video Processing, 6 (2): 287-300 (2012)Explicit and implicit employment of edge-related information in super-resolving distant faces for recognition., , and . Pattern Anal. Appl., 19 (3): 867-884 (2016)