نتایج جستجو برای: fxlms

تعداد نتایج: 129  

Journal: :journal of advances in computer research 2010
pooya davari

in many active noise control (anc) applications, an online secondary pathmodelling method that uses a white noise as a training signal is required. this paperproposes a new feedback anc system. here we modified both the fxlms and thevss-lms algorithms to raised noise attenuation and modelling accuracy for theoverall system. the proposed algorithm stops injection of the white noise at theoptimum...

2002
Wontae Jeong Kyutae Kim S. Lee Jaeheon Kim

Engine intake noise of automobile is another important noise that irritates drivers and passengers. The intake noise is narrow-banded low frequency noise. And it varies with engine rpm and throttle condition. Active Noise Control (ANC) technique is superior to passive noise control for this low-frequency noise. ANC is applied to four-cylinder automobile engine intake system. Normalized FXLMS (F...

2009
EDGAR LOPEZ-CAUDANA PABLO BETANCOURT ENRIQUE CRUZ MARIKO NAKANO-MIYATAKE HECTOR PEREZ-MEANA

This paper presents a hybrid active noise canceling (HANC) algorithm to overcome the acoustic feedback present in most ANC system, together with an efficient secondary path estimation scheme. The HANC system provides a solution of two fundamental problems present in these kind of ANC systems: The first consists in a reduction of the acoustic feedback from the cancellation loudspeaker to the inp...

2012
Debi Prasad Das Danielle J. Moreau Ben S. Cazzolato

1 Nonlinear active noise control for headrest using virtual microphone control Debi Prasad Das, Danielle J. Moreau, Ben S. Cazzolato School of Mechanical Engineering, The University of Adelaide SA 5005, AUSTRALIA *Process Engineering and Instrumentation Cell, CSIR-Institute of Minerals and Materials Technology, Bhubaneswar, India [email protected], [email protected] danielle.moreau@adelai...

Journal: :Applied sciences 2022

A real-time streaming feedforward active-noise-cancellation (ANC) system for an in-ear headphone was demonstrated in a real application scenario, by implementing 10-layer dilated convolutional-neural-network (CNN) on field programmable gate array (FPGA). 16 × systolic used the FPGA, to speed up model computation. The latency 170.6 μs, at clock frequency of 120 MHz. CNN 3232 parameters. Due larg...

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