ICC
2011
IEEE
13 years 1 days ago
2011
IEEE
—In this paper, we investigate the transmission completion time minimization problem in a two-user additive white Gaussian noise (AWGN) broadcast channel, where the transmitter i...
ICASSP
2011
IEEE
13 years 4 months ago
2011
IEEE
While an exact stationarization of a process with a given spectrum magnitude can be obtained via a complete randomization of the spectrum phase (“surrogates” technique), we pr...
TSP
2010
13 years 7 months ago
2010
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 determinis...
TCOM
2010
13 years 7 months ago
2010
The limited time available for acquiring the channel state in mobile broadband wireless communication systems makes it crucial to count with channel estimation methods that attain ...
TIT
2002
14 years 2 days ago
2002
A white Gaussian interference network is a channel with transmitters and receivers where the received symbols are linear combinations of the transmitted symbols and white Gaussian ...
TSP
2008
14 years 9 days ago
2008
We consider the problem of detecting a subspace signal in white Gaussian noise when the noise power may be different under the null hypothesis--where it is assumed to be known--and...
ICASSP
2010
IEEE
14 years 19 days ago
2010
IEEE
In this paper we present a noise level estimator using minimal values of the Short Time Fourier Transform of a signal embedded in a white Gaussian noise. The spectral kurtosis of ...
ICASSP
2010
IEEE
14 years 19 days 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 dif...
ICCCN
2007
IEEE
14 years 6 months ago
2007
IEEE
Signal to interference plus noise ratio, SINR, is one of the main factors that affects the quality of wireless communication. While the impact of white Gaussian noise on a wireles...
ICIP
2003
IEEE
15 years 2 months ago
2003
IEEE
This paper presents a novel approach to image denoising using adaptive principal components. Our assumptions are that the image is corrupted by additive white Gaussian noise. The ...