Practical implementation of an acoustic-based modal filtering sensing technique for active noise control

Hill, Simon G.; Snyder, Scott D.; Tanaka, Nobuo

doi:10.1016/j.apacoust.2006.08.002

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B Decentralized Far-field Optimization1

Introduction1

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Cited by 7 publications

(2 citation statements)

References 48 publications

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“…Since W D is a diagonal matrix, the driving signal of an antinoise source relies only on the collocated reference sensor. In practice, W D is often obtained when the MIMO ANC is trained for a fixed far-field noise source [22], [23].…”

Section: B Decentralized Far-field Optimizationmentioning

confidence: 99%

Understanding multiple-input multiple-output active noise control from a perspective of sampling and reconstruction

Shi

et al. 2017

2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)

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Section: B Decentralized Far-field Optimizationmentioning

confidence: 99%

Understanding multiple-input multiple-output active noise control from a perspective of sampling and reconstruction

Shi

et al. 2017

2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)

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“…In order to eliminate the influence of secondary sound feedback and improve the stability, the research on the adaptive algorithm is also an important aspect [25]. Petersen et al propose an inverse modeling of the structure of the active noise canceller [26].…”

Section: Introductionmentioning

confidence: 99%

Portable Low-Frequency Noise Reduction Device for Both Small Open and Closed Spaces

Wang

Gao

Long

et al. 2016

Shock and Vibration

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Noise pollution has been given more attention due to its negative impacts on human health and disease. The portable low-frequency noise reduction device we developed in this research can provide an effective way for solving low-frequency noise pollution problem in the small space. This work describes the design principle and the prototype structures for two versions of V1.5 and V2.0 and builds the noise test systems for small spaces, respectively. These devices, installed on the outer surface of the small spaces, can automatically identify the noise spectrum and implement noise reduction by means of the active noise control (ANC) technology. The testing results indicate that the noise can be reduced 12 dB in the range of 250 Hz~400 Hz for the small closed space while, for the small open space, the best effect of 5.88 dB occurs in the optimal frequency of 450 Hz. These effects will be weakened with the increasing distance away from the source and show the obvious axisymmetric distribution in the inverted cone space.

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Orthogonal contributor number for the measurement of sound power

Hill¹,

Tanaka²,

Iwamoto³

2009

Applied Acoustics

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Practical implementation of an acoustic-based modal filtering sensing technique for active noise control

Cited by 7 publications

References 48 publications

Understanding multiple-input multiple-output active noise control from a perspective of sampling and reconstruction

Understanding multiple-input multiple-output active noise control from a perspective of sampling and reconstruction

Portable Low-Frequency Noise Reduction Device for Both Small Open and Closed Spaces

Orthogonal contributor number for the measurement of sound power

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