Frequency domain adaptive algorithm for active noise control (2nd report, Investigation with an experimental duct model)

Shinya Kijimoto; Hiroshi Shimojima; Akihiro Shibahara

doi:10.1299/kikaic.62.1397

Frequency domain adaptive algorithm for active noise control (2nd report, Investigation with an experimental duct model)

Shinya Kijimoto, Hiroshi Shimojima, Akihiro Shibahara

Dynamics of Mechanical Systems

Research output: Contribution to journal › Article › peer-review

Abstract

A new adaptive control algorithm in the frequency domain was propose. This frequency domain approach is an alternative to the ordinary filtered x least mean squares (LMS) algorithm in the time domain. A transfer characteristic of an acoustic path is identified adaptively in the frequency domain using the fast Fourier transform (FFT). The real time control of the noise reduction in an L formed duct model was carried out. A digital signal processor and a personal computer were used for the active noise control. The maximum noise reduction level of about 30 dB and the average reduction level of about 7 dB were obtained through the experiment. As a result, it was shown that this frequency domain adaptive algorithm has faster convergence compared to the ordinary filtered x LMS algorithm.

Original language	English
Pages (from-to)	1397-1402
Number of pages	6
Journal	Nippon Kikai Gakkai Ronbunshu, C Hen/Transactions of the Japan Society of Mechanical Engineers, Part C
Volume	62
Issue number	596
DOIs	https://doi.org/10.1299/kikaic.62.1397
Publication status	Published - 1996

All Science Journal Classification (ASJC) codes

Mechanics of Materials
Mechanical Engineering
Industrial and Manufacturing Engineering

Access to Document

10.1299/kikaic.62.1397

Fingerprint Dive into the research topics of 'Frequency domain adaptive algorithm for active noise control (2nd report, Investigation with an experimental duct model)'. Together they form a unique fingerprint.

Cite this

Frequency domain adaptive algorithm for active noise control (2nd report, Investigation with an experimental duct model). / Kijimoto, Shinya; Shimojima, Hiroshi; Shibahara, Akihiro.

In: Nippon Kikai Gakkai Ronbunshu, C Hen/Transactions of the Japan Society of Mechanical Engineers, Part C, Vol. 62, No. 596, 1996, p. 1397-1402.

Research output: Contribution to journal › Article › peer-review

@article{7fac5e26dd694eb198870c186040b94c,

title = "Frequency domain adaptive algorithm for active noise control (2nd report, Investigation with an experimental duct model)",

abstract = "A new adaptive control algorithm in the frequency domain was propose. This frequency domain approach is an alternative to the ordinary filtered x least mean squares (LMS) algorithm in the time domain. A transfer characteristic of an acoustic path is identified adaptively in the frequency domain using the fast Fourier transform (FFT). The real time control of the noise reduction in an L formed duct model was carried out. A digital signal processor and a personal computer were used for the active noise control. The maximum noise reduction level of about 30 dB and the average reduction level of about 7 dB were obtained through the experiment. As a result, it was shown that this frequency domain adaptive algorithm has faster convergence compared to the ordinary filtered x LMS algorithm.",

author = "Shinya Kijimoto and Hiroshi Shimojima and Akihiro Shibahara",

year = "1996",

doi = "10.1299/kikaic.62.1397",

language = "English",

volume = "62",

pages = "1397--1402",

journal = "Nippon Kikai Gakkai Ronbunshu, C Hen/Transactions of the Japan Society of Mechanical Engineers, Part C",

issn = "0387-5024",

publisher = "The Japan Society of Mechanical Engineers",

number = "596",

}

TY - JOUR

T1 - Frequency domain adaptive algorithm for active noise control (2nd report, Investigation with an experimental duct model)

AU - Kijimoto, Shinya

AU - Shimojima, Hiroshi

AU - Shibahara, Akihiro

PY - 1996

Y1 - 1996

N2 - A new adaptive control algorithm in the frequency domain was propose. This frequency domain approach is an alternative to the ordinary filtered x least mean squares (LMS) algorithm in the time domain. A transfer characteristic of an acoustic path is identified adaptively in the frequency domain using the fast Fourier transform (FFT). The real time control of the noise reduction in an L formed duct model was carried out. A digital signal processor and a personal computer were used for the active noise control. The maximum noise reduction level of about 30 dB and the average reduction level of about 7 dB were obtained through the experiment. As a result, it was shown that this frequency domain adaptive algorithm has faster convergence compared to the ordinary filtered x LMS algorithm.

AB - A new adaptive control algorithm in the frequency domain was propose. This frequency domain approach is an alternative to the ordinary filtered x least mean squares (LMS) algorithm in the time domain. A transfer characteristic of an acoustic path is identified adaptively in the frequency domain using the fast Fourier transform (FFT). The real time control of the noise reduction in an L formed duct model was carried out. A digital signal processor and a personal computer were used for the active noise control. The maximum noise reduction level of about 30 dB and the average reduction level of about 7 dB were obtained through the experiment. As a result, it was shown that this frequency domain adaptive algorithm has faster convergence compared to the ordinary filtered x LMS algorithm.

UR - http://www.scopus.com/inward/record.url?scp=0030120777&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0030120777&partnerID=8YFLogxK

U2 - 10.1299/kikaic.62.1397

DO - 10.1299/kikaic.62.1397

M3 - Article

AN - SCOPUS:0030120777

VL - 62

SP - 1397

EP - 1402

JO - Nippon Kikai Gakkai Ronbunshu, C Hen/Transactions of the Japan Society of Mechanical Engineers, Part C

JF - Nippon Kikai Gakkai Ronbunshu, C Hen/Transactions of the Japan Society of Mechanical Engineers, Part C

SN - 0387-5024

IS - 596

ER -

Frequency domain adaptive algorithm for active noise control (2nd report, Investigation with an experimental duct model)

Abstract

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Cite this