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TNN
2008
82views more  TNN 2008»
15 years 6 months ago
Deterministic Learning for Maximum-Likelihood Estimation Through Neural Networks
In this paper, a general method for the numerical solution of maximum-likelihood estimation (MLE) problems is presented; it adopts the deterministic learning (DL) approach to find ...
Cristiano Cervellera, Danilo Macciò, Marco ...
TSP
2008
74views more  TSP 2008»
15 years 6 months ago
Performance of ESPRIT for Estimating Mixtures of Complex Exponentials Modulated by Polynomials
High Resolution (HR) methods are known to provide accurate frequency estimates for discrete spectra. The Polynomial Amplitude Complex Exponentials (PACE) model, also called quasipo...
Roland Badeau, Gaël Richard, Bertrand David
TSP
2008
102views more  TSP 2008»
15 years 6 months ago
Spatially Adaptive Estimation via Fitted Local Likelihood Techniques
Abstract--This paper offers a new technique for spatially adaptive estimation. The local likelihood is exploited for nonparametric modeling of observations and estimated signals. T...
Vladimir Katkovnik, Vladimir Spokoiny
TWC
2008
88views more  TWC 2008»
15 years 6 months ago
Turbo Estimation and Equalization for Asynchronous Uplink MC-CDMA
In this contribution, we propose a new code-aided synchronization and channel estimation algorithm for uplink MC-CDMA. The space alternating generalized expectationmaximization (SA...
Mamoun Guenach, Mohamed Marey, Henk Wymeersch, Hei...
JCB
2002
74views more  JCB 2002»
15 years 6 months ago
Using Substitution Matrices to Estimate Probability Distributions for Biological Sequences
Accurately estimating probabilities from observations is important for probabilistic-based approaches to problems in computational biology. In this paper we present a biologically...
Eleazar Eskin, William Stafford Noble, Yoram Singe...