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» Estimation of the noise correlation matrix
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WSC
2000
14 years 11 months ago
Generating "dependent" quasi-random numbers
Under certain conditions on the integrand, quasi-Monte Carlo methods for estimating integrals (expectations) converge faster asymptotically than Monte Carlo methods. Motivated by ...
Shane G. Henderson, Belinda A. Chiera, Roger M. Co...
ICASSP
2011
IEEE
14 years 1 months ago
Compressive sensing meets game theory
We introduce the Multiplicative Update Selector and Estimator (MUSE) algorithm for sparse approximation in underdetermined linear regression problems. Given f = Φα∗ + µ, the ...
Sina Jafarpour, Robert E. Schapire, Volkan Cevher
TSP
2010
14 years 4 months ago
Single antenna power measurements based direction finding
Abstract--In this paper, the problem of estimating direction-ofarrival (DOA) of multiple uncorrelated sources from single antenna power measurements is addressed. Utilizing the fac...
Joni Polili Lie, Thierry Blu, Chong Meng Samson Se...
JCM
2008
104views more  JCM 2008»
14 years 9 months ago
An OFDM Symbol Design for Reduced Complexity MMSE Channel Estimation
In this paper we revisit the minimum mean square error (MMSE) pilot-aided channel estimation for broadband orthogonal frequency division multiplexing (OFDM) systems. The careful de...
Carlos Ribeiro, Atílio Gameiro
GECCO
2006
Springer
138views Optimization» more  GECCO 2006»
15 years 1 months ago
Does overfitting affect performance in estimation of distribution algorithms
Estimation of Distribution Algorithms (EDAs) are a class of evolutionary algorithms that use machine learning techniques to solve optimization problems. Machine learning is used t...
Hao Wu, Jonathan L. Shapiro