Sciweavers

TSP
2010
15 years 2 months ago
Shrinkage algorithms for MMSE covariance estimation
We address covariance estimation in the sense of minimum mean-squared error (MMSE) when the samples are Gaussian distributed. Specifically, we consider shrinkage methods which are ...
Yilun Chen, Ami Wiesel, Yonina C. Eldar, Alfred O....
TSP
2010
15 years 2 months ago
MIMO cognitive radio: a game theoretical approach
Abstract--The concept of cognitive radio (CR) has recently received great attention from the research community as a promising paradigm to achieve efficient use of the frequency re...
Gesualdo Scutari, Daniel Pérez Palomar
TSP
2010
15 years 2 months ago
Distributed sparse linear regression
The Lasso is a popular technique for joint estimation and continuous variable selection, especially well-suited for sparse and possibly under-determined linear regression problems....
Gonzalo Mateos, Juan Andrés Bazerque, Georg...
TSP
2010
15 years 2 months ago
Markov chain monte carlo detectors for channels with intersymbol interference
In this paper, we propose novel low-complexity soft-in soft-out (SISO) equalizers using the Markov chain Monte Carlo (MCMC) technique. We develop a bitwise MCMC equalizer (b-MCMC) ...
Ronghui Peng, Rong-Rong Chen, Behrouz Farhang-Boro...
TSP
2010
15 years 2 months ago
The acoustic vector-sensor's near-field array-manifold
Abstract--The acoustic vector-sensor is a practical and versatile soundmeasurement system, for applications in-room, open-air, or underwater. Its far-field measurement model has be...
Yue Ivan Wu, Kainam Thomas Wong, Siu-Kit Lau
TSP
2010
15 years 2 months ago
Design of regular wavelets using a three-step lifting scheme
We propose structural multidimensional multi-channel filter banks with desirable numbers of vanishing moments for the analysis and synthesis banks. For a two-channel filter bank, w...
Ramin Eslami, Hayder Radha
TSP
2010
15 years 2 months ago
Joint nonlinear channel equalization and soft LDPC decoding with Gaussian processes
In this paper, we introduce a new approach for nonlinear equalization based on Gaussian processes for classification (GPC). We propose to measure the performance of this equalizer ...
Pablo M. Olmos, Juan José Murillo-Fuentes, ...
TSP
2010
15 years 2 months ago
Covariance estimation in decomposable Gaussian graphical models
Graphical models are a framework for representing and exploiting prior conditional independence structures within distributions using graphs. In the Gaussian case, these models are...
Ami Wiesel, Yonina C. Eldar, Alfred O. Hero
TSP
2010
15 years 2 months ago
MIMO transceiver optimization with linear constraints on transmitted signal covariance components
Abstract--This correspondence revisits the joint transceiver optimization problem for multiple-input multiple-output (MIMO) channels. The linear transceiver as well as the transcei...
Ching-Chih Weng, P. P. Vaidyanathan
TSP
2010
15 years 2 months ago
Optimal linear fusion for distributed detection via semidefinite programming
Consider the problem of signal detection via multiple distributed noisy sensors. We propose a linear decision fusion rule to combine the local statistics from individual sensors i...
Zhi Quan, Wing-Kin Ma, Shuguang Cui, Ali H. Sayed