Sparse-Aware Bias-Compensated Adaptive Filtering Algorithms Using the Maximum Correntropy Criterion for Sparse System Identification With Noisy Input

Entropy - Switzerland
doi 10.3390/e20060407
Full Text
Abstract

Available in full text

Date
Authors
Publisher

MDPI AG

Related search

Subband Adaptive Filtering Withl1-Norm Constraint for Sparse System Identification

Mathematical Problems in Engineering
MathematicsEngineering
2013English

ADMM for Maximum Correntropy Criterion

2016English

New Adaptive Algorithms for the Rapid Identification of Sparse Impulse Responses

2010English

Adaptive Blind Identification of Sparse SIMO Channels Using Maximum a Posteriori Approach

2018English

Sparse Nonlinear MIMO Filtering and Identification

Signals and Communication Technology
ControlElectronic EngineeringSignal ProcessingComputer NetworksSystems EngineeringCommunicationsElectrical
2013English

Sparsity-Aware Affine Projection Adaptive Algorithms for System Identification

2011English

System Identification With Sparse Coprime Sensing

IEEE Signal Processing Letters
Electronic EngineeringApplied MathematicsElectricalSignal Processing
2010English

Sparse Signal Sampling Using Noisy Linear Projections

2008English

Smooth Bias Estimation for Multipath Mitigation Using Sparse Estimation

2018English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2026 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy