25 search results - page 2 / 5 » Sparse decomposition of two dimensional signals |
JMLR
2012
11 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...
ICASSP
2009
IEEE
14 years 2 days 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...
IDA
2009
Springer
13 years 12 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...
ICASSP
2011
IEEE
12 years 9 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...
ICASSP
2011
IEEE
12 years 9 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...