20 search results - page 1 / 4 » On unbiased estimation of sparse vectors corrupted by Gaussi... |
ICASSP
2010
IEEE
13 years 5 months ago
2010
IEEE
We consider the estimation of a sparse parameter vector from measurements corrupted by white Gaussian noise. Our focus is on unbiased estimation as a setting under which the difď¬...
ICASSP
2010
IEEE
13 years 5 months ago
2010
IEEE
We consider the problem of estimating a deterministic sparse vector x0 from underdetermined measurements Ax0 + w, where w represents white Gaussian noise and A is a given determin...
TIP
2011
12 years 11 months ago
2011
—We propose a general methodology (PURE-LET) to design and optimize a wide class of transform-domain thresholding algorithms for denoising images corrupted by mixed Poisson–Gau...
ESANN
2003
2003
Approximately unbiased estimation of conditional variance in heteroscedastic kernel ridge regression
13 years 6 months ago
In this paper we extend a form of kernel ridge regression for data characterised by a heteroscedastic noise process (introduced in Foxall et al. [1]) in order to provide approxima...
CORR
2010
Springer
13 years 4 months ago
2010
Springer
This paper examines the ability of greedy algorithms to estimate a block sparse parameter vector from noisy measurements. In particular, block sparse versions of the orthogonal mat...