25 search results - page 1 / 5 » Sparse decomposition of two dimensional signals |
ICASSP
2009
IEEE
13 years 11 months ago
2009
IEEE
In this paper, we consider sparse decomposition (SD) of twodimensional (2D) signals on overcomplete dictionaries with separable atoms. Although, this problem can be solved by conv...
ICASSP
2010
IEEE
13 years 5 months ago
2010
IEEE
Recently, the Sparse Matrix Transform (SMT) has been proposed as a tool for estimating the eigen-decomposition of high dimensional data vectors [1]. The SMT approach has two major...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
Sparse sampling with coprime lattice arrays was introduced recently in the literature. It has been shown that a dense coarray can be constructed from such a pair of arrays, and is...
ICA
2007
Springer
13 years 11 months ago
2007
Springer
In underdetermined blind source separation problems, it is common practice to exploit the underlying sparsity of the sources for demixing. In this work, we propose two sparse decom...
IEEECGIV
2009
IEEE
13 years 11 months ago
2009
IEEE
The theory of compressive sampling involves making random linear projections of a signal. Provided signal is sparse in some basis, small number of such measurements preserves the ...