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NIPS
2004
15 years 8 months ago
Bayesian Regularization and Nonnegative Deconvolution for Time Delay Estimation
Bayesian Regularization and Nonnegative Deconvolution (BRAND) is proposed for estimating time delays of acoustic signals in reverberant environments. Sparsity of the nonnegative f...
Yuanqing Lin, Daniel D. Lee
WCE
2007
15 years 7 months ago
Recursive Linear Estimation for Doubly Stochastic Poisson Processes
Abstract— The problem of estimating the intensity process of a doubly stochastic Poisson process is analyzed. Using covariance information, a recursive linear minimum mean-square...
Rosa M. Fernández-Alcalá, Jesú...
ICASSP
2010
IEEE
15 years 6 months ago
Guaranteed robust distributed estimation in a network of sensors
This paper proposes a guaranteed robust bounded-error distributed estimation algorithm. It may be employed to perform parameter estimation from data collected in a network of wire...
Jean-Benoist Leger, Michel Kieffer
CSDA
2008
111views more  CSDA 2008»
15 years 6 months ago
Automatic bandwidth selection for circular density estimation
Given angular data 1, . . . , n [0, 2) a common objective is to estimate the density. In the case that a kernel estimator is used, bandwidth selection is crucial to the performan...
Charles C. Taylor
CSDA
2006
94views more  CSDA 2006»
15 years 6 months ago
Simulation-based approach to estimation of latent variable models
We propose a simulation-based method for calculating maximum likelihood estimators in latent variable models. The proposed method integrates a recently developed sampling strategy...
Zhiguang Qian, Alexander Shapiro