A compact neuromorphic architecture with dynamic multiplexing to efficiently compute a nearest Kronecker product decomposition based RLS-NLMS algorithm for active noise control headphones-Reference-Cited by-同舟云学术

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A compact neuromorphic architecture with dynamic multiplexing to efficiently compute a nearest Kronecker product decomposition based RLS-NLMS algorithm for active noise control headphones

Published:2022-09 Issue: Volume:503 Page:1-16
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Vazquez Angel,Garcia Luis,Toscano Karina,Sanchez Juan-Carlos,Duchen Gonzalo,Perez Hector,Avalos Juan-Gerardo,Sanchez Giovanny

Funder

Instituto Politécnico Nacional

Consejo Nacional de Ciencia y Tecnología

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference29 articles.

1. Development and evaluation of light-weight active noise cancellation earphones;Kuo;Applied Sciences,2018

2. A combined bilateral and binaural active noise control algorithm for closed-back headphones;Belyi;Applied Acoustics,2020

3. Implementation of feedforward active noise control techniques for headphones;Huang,2020

4. A survey on active noise control in the past decade–Part I: Linear systems;Lu;Signal Processing,2021

5. Improving performance of FxRLS algorithm for active noise control of impulsive noise;Zeb;Applied Acoustics,2017

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