Adaptive Filtering Approach With Forgetting Factor for Stochastic Signals Applied to EEG

Adaptive Filtering Approach With Forgetting Factor for Stochastic Signals Applied to EEG

This paper presents a new stochastic adaptive estimation-identification technique for nonstationary systems. The proposed method enhances the initial results from an on average estimation, and its identification, through a generalized adaptable function based on the Exponential Forgetting Factor (EF...

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Bibliographic Details
Main Authors: Karen Alicia Aguilar-Cruz, Jose De Jesus Medel-Juarez, Maria Teresa Zagaceta-Alvarez, Rosaura Palma-Orozco, Romeo Urbieta-Parrazales
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Adaptive estimation
electroencephalogram
parameter estimation
signal processing algorithm
system identification
Online Access:https://ieeexplore.ieee.org/document/9108253/

Internet

https://ieeexplore.ieee.org/document/9108253/

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