TSP
2010
12 years 11 months ago
2010
Distributed averaging describes a class of network algorithms for the decentralized computation of aggregate statistics. Initially, each node has a scalar data value, and the goal...
TSP
2010
12 years 11 months ago
2010
Time-delay estimation arises in many applications in which a multipath medium has to be identified from pulses transmitted through the channel. Previous methods for time delay reco...
TSP
2010
12 years 11 months ago
2010
Abstract--In this paper, parameter estimation of a two-dimensional (2-D) single damped real/complex tone in the presence of additive white Gaussian noise is addressed. By utilizing...
TSP
2010
12 years 11 months ago
2010
In this correspondence, we propose an iterative "turbo" channel estimation algorithm for known symbol padding (KSP) orthogonal frequency-division multiplexing (OFDM), whe...
TSP
2010
12 years 11 months ago
2010
Abstract--This work studies the near-optimality versus the complexity of distributed configuration management for wireless networks. We first develop a global probabilistic graphic...
TSP
2010
12 years 11 months ago
2010
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 ...
TSP
2010
12 years 11 months ago
2010
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...
TSP
2010
12 years 11 months ago
2010
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....
TSP
2010
12 years 11 months ago
2010
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) ...
TSP
2010
12 years 11 months ago
2010
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...