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Improving the tracking capability of adaptive filters via convex combination
(IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2008)
As is well known, Hessian-based adaptive filters (such as the recursive-least squares algorithm (RLS) for supervised adaptive filtering, or the Shalvi-Weinstein algorithm (SWA) for blind equalization) converge much faster ...
Typing polymorphic recursion
(2001)
Stochastic stability analysis for the constant-modulus algorithm
(IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2008)
We derive an easy-to-compute approximate bound for the range of step-sizes for which the constant-modulus algorithm (CMA) will remain stable if initialized close to a minimum of the CM cost function. Our model highlights ...
Comparación entre algoritmos recursivos e iterativos y su medición en términos de eficiencia
(Universidad Nacional (Costa Rica), 2013)
Se llevarán a cabo comparaciones simples entre algoritmos recursivos e iterativos, para determinar el grado de eficiencia de un problema en particular. Se efectuaron pruebas de comparación y análisis ...
A new algorithm for time series prediction using machine learning models
Two stage grid search accepted as a promising heuristic search technique, involves a search performed in two stages. In the first stage a search is performed in coarse grain/low resolution to identify the optimal region ...
Estudo e implementação de um analisador de harmônicos variantes no tempo
(Universidade Federal de Juiz de Fora (UFJF)BrasilFaculdade de EngenhariaPrograma de Pós-graduação em Engenharia ElétricaUFJF, 2017)
Computational aspects of nonparametric Bayesian analysis with applications to the modeling of multiple binary sequences
(AMER STATISTICAL ASSOC, 2000)
We consider Markov mixture models for multiple longitudinal binary sequences. Prior uncertainty in the mixing distribution is characterized by a Dirichlet process centered on a matrix beta measure. We use this setting to ...