25 search results - page 2 / 5 » Sparse decomposition of two dimensional signals |
179
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JMLR
2012
13 years 7 months ago
2012
Traditional tensor decompositions such as the CANDECOMP / PARAFAC (CP) and Tucker decompositions yield higher-order principal components that have been used to understand tensor d...
150
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ICASSP
2009
IEEE
15 years 11 months ago
2009
IEEE
We develop a framework to detect when certain sounds are present in a mixed audio signal. We focus on the regime where out of a large number of possible sounds, a small but unknow...
149
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IDA
2009
Springer
15 years 11 months ago
2009
Springer
Abstract. We apply sparse, fast and flexible adaptive lapped orthogonal transforms to underdetermined audio source separation using the time-frequency masking framework. This norm...
159
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ICASSP
2011
IEEE
14 years 8 months ago
2011
IEEE
In this paper, we develop the theory of a new class of two dimensional arrays with sensors on lattice(s) which can be used to construct a virtual array of much larger size through...
150
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ICASSP
2011
IEEE
14 years 8 months ago
2011
IEEE
The main contribution presented here is an adaptive/unsupervised iterative thresholding algorithm for sparse representation of signals which can be modeled as the sum of two compo...