Sciweavers

ICIP
2010
IEEE
13 years 8 months ago
Robust and efficient background subtraction by quadratic polynomial fitting
We present a background subtraction algorithm aimed at efciency and robustness to common sources of disturbance such as illumination changes, camera gain and exposure variations, ...
Alessandro Lanza, Federico Tombari, Luigi di Stefa...
TSP
2008
143views more  TSP 2008»
13 years 10 months ago
A Nonlinear Stein-Based Estimator for Multichannel Image Denoising
The use of multicomponent images has become widespread with the improvement of multisensor systems having increased spatial and spectral resolutions. However, the observed images ...
Caroline Chaux, Laurent Duval, Amel Benazza-Benyah...
TIP
2008
205views more  TIP 2008»
13 years 10 months ago
Image Denoising Using Derotated Complex Wavelet Coefficients
A method for removing additive Gaussian noise from digital images is described. It is based on statistical modeling of the coefficients of a redundant, oriented, complex multiscale...
Mark Miller, Nick G. Kingsbury
NIPS
2003
14 years 5 days ago
Linear Dependent Dimensionality Reduction
We formulate linear dimensionality reduction as a semi-parametric estimation problem, enabling us to study its asymptotic behavior. We generalize the problem beyond additive Gauss...
Nathan Srebro, Tommi Jaakkola
ITCC
2000
IEEE
14 years 3 months ago
Projection-Based Multiuser Receiver over Frequency Selective Channels
In multiuser communication, the receiver’s performance is degraded by multiuser interference (MUI) as well as multipath distortions. This paper aims at elimination of these side...
Zhengyuan (Daniel) Xu
GLOBECOM
2006
IEEE
14 years 4 months ago
Feedback Capacity of Stationary Sources over Gaussian Intersymbol Interference Channels
Abstract— We consider discrete-time channels with finitelength intersymbol interference and additive Gaussian noise. The channel noise is considered to be a stationary ARMA (aut...
Shaohua Yang, Aleksandar Kavcic, Sekhar Tatikonda
ICA
2007
Springer
14 years 5 months ago
Sparse Component Analysis in Presence of Noise Using an Iterative EM-MAP Algorithm
Abstract. In this paper, a new algorithm for source recovery in underdetermined Sparse Component Analysis (SCA) or atomic decomposition on over-complete dictionaries is presented i...
Hadi Zayyani, Massoud Babaie-Zadeh, G. Hosein Mohi...
ICMCS
2008
IEEE
118views Multimedia» more  ICMCS 2008»
14 years 5 months ago
Noise filtering method for color images based on LDA and nonlinear diffusion
The purpose of noise filtering for images is to preserve features such as edge or corners in images, while reducing noise. Recent noise filtering algorithms based on diffusion e...
Woong Hee Kim, Thomas Sikora
GLOBECOM
2008
IEEE
14 years 5 months ago
MIMO Receiver Design in the Presence of Radio Frequency Interference
—Multi-input multi-output (MIMO) receivers have been designed and their communication performance analyzed under the assumption of additive Gaussian noise. Wireless transceivers,...
Kapil Gulati, Aditya Chopra, Robert W. Heath Jr., ...
ICASSP
2009
IEEE
14 years 5 months ago
Performance bounds of MIMO receivers in the presence of radio frequency interference
—Multi-input multi-output (MIMO) receivers have generally been designed and their communication performance analyzed under the assumption of additive Gaussian noise. Wireless tra...
Aditya Chopra, Kapil Gulati, Brian L. Evans, Keith...