69 search results - page 3 / 14 » Dictionary learning of convolved signals |
CORR
2010
Springer
13 years 5 months ago
2010
Springer
Recent work has demonstrated that using a carefully designed dictionary instead of a predefined one, can improve the sparsity in jointly representing a class of signals. This has m...
ICASSP
2009
IEEE
13 years 12 months ago
2009
IEEE
ICASSP
2010
IEEE
13 years 5 months ago
2010
IEEE
Dictionary learning through matrix factorization has become widely popular for performing music transcription and source separation. These methods learn a concise set of dictionar...
ICASSP
2011
IEEE
12 years 9 months ago
2011
IEEE
The idea of learning overcomplete dictionaries based on the paradigm of compressive sensing has found numerous applications, among which image denoising is considered one of the m...
ICASSP
2010
IEEE
13 years 5 months ago
2010
IEEE
We propose an ℓ1 criterion for dictionary learning for sparse signal representation. Instead of directly searching for the dictionary vectors, our dictionary learning approach i...