Details
| Original language | English |
|---|---|
| Pages (from-to) | 567-573 |
| Number of pages | 7 |
| Journal | Journal of Computer and Systems Sciences International |
| Volume | 48 |
| Issue number | 4 |
| Publication status | Published - 21 Aug 2009 |
Abstract
In order to improve the passive attenuation of hearing protection headsets, active noise reduction (ANR) techniques are usually applied. These ANR-techniques accomplish the active attenuation of the disturbing acoustical noise using an out-of-phase antinoise. The antinoise destructively interferes with the disturbing noise close to the humans ear drum. The generation of the antinoise can be conducted using different control strategies. However, due to variable system plants, often adaptive control strategies are chosen. Even though such adaptive systems effectively attenuate the disturbing noise in a wide frequency range, a major disadvantage is the computational effort linked to the large amount of controller parameters. The controller parameters have tobe updated by the adaptive algorithm and the resulting computational effort makes the application of expensive digital signal processors unavoidable. For this reason, no commercial products realizing adaptive broadband techniques are on the market yet. In this paper, a partially-adaptive control approach is introduced which permits the reduction of the computational effort in comparison to conventional and fully adaptive ANR-controllers. The noise reduction performance as well as the computational efficiency of the proposed control strategy is presented.
Keywords
- ANR-headset, Computationally efficient active noise reduction, Partially-adaptive IIR-filter
ASJC Scopus subject areas
- Computer Science(all)
- Software
- Engineering(all)
- Control and Systems Engineering
- Mathematics(all)
- Theoretical Computer Science
- Computer Science(all)
- Information Systems
- Computer Science(all)
- Computer Vision and Pattern Recognition
- Computer Science(all)
- Computer Networks and Communications
- Mathematics(all)
- Applied Mathematics
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In: Journal of Computer and Systems Sciences International, Vol. 48, No. 4, 21.08.2009, p. 567-573.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Computationally efficient active noise reduction in headsets
AU - Graf, J.
AU - Reithmeier, E.
PY - 2009/8/21
Y1 - 2009/8/21
N2 - In order to improve the passive attenuation of hearing protection headsets, active noise reduction (ANR) techniques are usually applied. These ANR-techniques accomplish the active attenuation of the disturbing acoustical noise using an out-of-phase antinoise. The antinoise destructively interferes with the disturbing noise close to the humans ear drum. The generation of the antinoise can be conducted using different control strategies. However, due to variable system plants, often adaptive control strategies are chosen. Even though such adaptive systems effectively attenuate the disturbing noise in a wide frequency range, a major disadvantage is the computational effort linked to the large amount of controller parameters. The controller parameters have tobe updated by the adaptive algorithm and the resulting computational effort makes the application of expensive digital signal processors unavoidable. For this reason, no commercial products realizing adaptive broadband techniques are on the market yet. In this paper, a partially-adaptive control approach is introduced which permits the reduction of the computational effort in comparison to conventional and fully adaptive ANR-controllers. The noise reduction performance as well as the computational efficiency of the proposed control strategy is presented.
AB - In order to improve the passive attenuation of hearing protection headsets, active noise reduction (ANR) techniques are usually applied. These ANR-techniques accomplish the active attenuation of the disturbing acoustical noise using an out-of-phase antinoise. The antinoise destructively interferes with the disturbing noise close to the humans ear drum. The generation of the antinoise can be conducted using different control strategies. However, due to variable system plants, often adaptive control strategies are chosen. Even though such adaptive systems effectively attenuate the disturbing noise in a wide frequency range, a major disadvantage is the computational effort linked to the large amount of controller parameters. The controller parameters have tobe updated by the adaptive algorithm and the resulting computational effort makes the application of expensive digital signal processors unavoidable. For this reason, no commercial products realizing adaptive broadband techniques are on the market yet. In this paper, a partially-adaptive control approach is introduced which permits the reduction of the computational effort in comparison to conventional and fully adaptive ANR-controllers. The noise reduction performance as well as the computational efficiency of the proposed control strategy is presented.
KW - ANR-headset
KW - Computationally efficient active noise reduction
KW - Partially-adaptive IIR-filter
UR - http://www.scopus.com/inward/record.url?scp=69249098328&partnerID=8YFLogxK
U2 - 10.1134/S1064230709040108
DO - 10.1134/S1064230709040108
M3 - Article
AN - SCOPUS:69249098328
VL - 48
SP - 567
EP - 573
JO - Journal of Computer and Systems Sciences International
JF - Journal of Computer and Systems Sciences International
SN - 1064-2307
IS - 4
ER -