1391 search results - page 1 / 279 » Optimally Sparse Frames |
CORR
2010
Springer
13 years 5 months ago
2010
Springer
Frames have established themselves as a means to derive redundant, yet stable decompositions of a signal for analysis or transmission, while also promoting sparse expansions. Howe...
CORR
2010
Springer
13 years 2 months ago
2010
Springer
The CUR decomposition provides an approximation of a matrix X that has low reconstruction error and that is sparse in the sense that the resulting approximation lies in the span o...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
—Discriminative Training (DT) methods for acoustic modeling, such as MMI, MCE, and SVM, have been proved effective in speaker recognition. In this paper we propose a DT method fo...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
This paper concerns the reconstruction of a temporally-varying scene from a video sequence of noisy linear projections. Assuming that each video frame is sparse or compressible in...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
Compressed sensing is a novel technique where one can recover sparse signals from the undersampled measurements. In this paper, a K × N measurement matrix for compressed sensing ...