173 search results - page 2 / 35 » An Alternating Minimization Method for Sparse Channel Estima... |
CORR
2010
Springer
13 years 4 months ago
2010
Springer
Gaussian graphical models are of great interest in statistical learning. Because the conditional independencies between different nodes correspond to zero entries in the inverse c...
IEICET
2006
13 years 6 months ago
2006
Abstract -- The application of Orthogonal SpaceTime Block Codes (O-STBC) as the encoding scheme in the presence of "non-quasi-static" fading was considered. A simple and ...
ICASSP
2011
IEEE
12 years 9 months ago
2011
IEEE
The 2- 1 sparse signal minimization problem can be solved efficiently by gradient projection. In many applications, the signal to be estimated is known to lie in some range of va...
ACIVS
2005
Springer
13 years 11 months ago
2005
Springer
We describe a method for removing quantization artifacts (de-quantizing) in the image domain, by enforcing a high degree of sparseness in its representation with an overcomplete or...
ICASSP
2011
IEEE
12 years 9 months ago
2011
IEEE
The least mean squares (LMS) algorithm is one of the most popular recursive parameter estimation methods. In its standard form it does not take into account any special characteri...