Channel Sparsity Aware Function Expansion Filters Using the RLS Algorithm for Nonlinear Acoustic Echo Cancellation

Channel Sparsity Aware Function Expansion Filters Using the RLS Algorithm for Nonlinear Acoustic Echo Cancellation

In this paper, we propose a channel sparsity aware sequential recursive least squares (sparse SEQ-RLS) algorithm for function expansion filters with applications in nonlinear echo cancellation. The algorithm is developed based on a diagonal channel structure from the Volterra filter and updating dom...

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Bibliographic Details
Main Authors: Jean Jiang, Vinith Vijayarajan, Lizhe Tan
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Nonlinear sparse system modeling
nonlinear acoustic echo cancellation
sparse sequential RLS algorithm
Volterra filter
even mirror Fourier nonlinear filter
Online Access:https://ieeexplore.ieee.org/document/9127432/

Internet

https://ieeexplore.ieee.org/document/9127432/

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