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DICTA
2003
13 years 9 months ago
Maximum-Likelihood Circle-Parameter Estimation via Convolution
In this paper, we present an interpretation of the Maximum Likelihood Estimator (MLE) and the Delogne-K˚asa Estimator (DKE) for circle-parameter estimation via convolution. Under ...
Emanuel Zelniker, Vaughan Clarkson
AUTOMATICA
2010
146views more  AUTOMATICA 2010»
13 years 7 months ago
Parameter estimation and compensation in systems with nonlinearly parameterized perturbations
We consider a class of systems influenced by perturbations that are nonlinearly parameterized by unknown constant parameters, and develop a method for estimating the unknown param...
Håvard Fjær Grip, Tor Arne Johansen, L...
TSP
2010
13 years 2 months ago
Estimating multiple frequency-hopping signal parameters via sparse linear regression
Abstract--Frequency hopping (FH) signals have well-documented merits for commercial and military applications due to their near-far resistance and robustness to jamming. Estimating...
Daniele Angelosante, Georgios B. Giannakis, Nichol...
TSP
2008
166views more  TSP 2008»
13 years 7 months ago
Linear Regression With Gaussian Model Uncertainty: Algorithms and Bounds
In this paper, we consider the problem of estimating an unknown deterministic parameter vector in a linear regression model with random Gaussian uncertainty in the mixing matrix. W...
Ami Wiesel, Yonina C. Eldar, Arie Yeredor
NIPS
2004
13 years 9 months ago
Variational Minimax Estimation of Discrete Distributions under KL Loss
We develop a family of upper and lower bounds on the worst-case expected KL loss for estimating a discrete distribution on a finite number m of points, given N i.i.d. samples. Our...
Liam Paninski