1582 search results - page 98 / 317 » On sparse signal representations |
169
Voted
JMLR
2010
15 years 4 months ago
2010
Sparse coding—that is, modelling data vectors as sparse linear combinations of basis elements—is widely used in machine learning, neuroscience, signal processing, and statisti...
235
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ICASSP
2010
IEEE
15 years 28 days ago
2010
IEEE
The under-determined blind source separation (BSS) problem is usually solved using the sparse component analysis (SCA) technique. In SCA, the BSS is usually solved in two steps, w...
154
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ICASSP
2011
IEEE
14 years 9 months ago
2011
IEEE
We show that the exact recovery of sparse perturbations on the coefficient matrix in overdetermined Least Squares problems is possible for a large class of perturbation structure...
171
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ICASSP
2011
IEEE
14 years 9 months ago
2011
IEEE
The K-means clustering problem seeks to partition the columns of a data matrix in subsets, such that columns in the same subset are ‘close’ to each other. The co-clustering pr...
178
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ICASSP
2011
IEEE
14 years 9 months ago
2011
IEEE
Due to multipath delay spread and relatively high sampling rate in OFDM systems, the channel estimation is formulated as a sparse recovery problem, where a hybrid compressed sensi...