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2010•Unpublished venueRequires access

On maximum achievable noise reduction in ANC systems

Ali A. Milani, Govind Kannan, Issa M. S. Panahi

Open publisher page 15 citations

Abstract

Active noise control (ANC) is primarily a signal estimation problem. The nature of noise to be canceled, the acoustic paths, and the transfer functions of microphones/loudspeakers place fundamental limits on the performance of ANC systems. In this paper we analyze the performance of ANC systems from the maximum achievable noise attenuation level (NALmax) prospective for different ANC system structures i.e feed-forward, feedback and hybrid. We first derive NALmaxfor stochastic noise and then generalize the result to accommodate tonal (sinusoidal) noises. These results are invaluable in choosing an ANC design scheme.

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What this paper is about

Active noise control (ANC) is primarily a signal estimation problem. The nature of noise to be canceled, the acoustic paths, and the transfer functions of microphones/loudspeakers place fundamental limits on the performance of ANC systems. In this paper we analyze the performance of ANC systems from the maximum achievable noise attenuation level (NALmax) prospective for different ANC system structures i.e feed-forward, feedback and hybrid. We first derive NALmaxfor stochastic noise and then generalize the result to accommodate tonal (sinusoidal) noises. These results are invaluable in choosing an ANC design scheme.

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OpenAlex reports 15 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Active noise control (ANC) is primarily a signal estimation problem. The nature of noise to be canceled, the acoustic paths, and the transfer functions of microphones/loudspeakers place fundamental limits on the performance of ANC systems. In this paper we analyze the performance of ANC systems from the maximum achievable noise attenuation level (NALmax) prospective for different ANC system structures i.e feed-forward, feedback and hybrid. We first derive NALmaxfor stochastic noise and then generalize the result to accommodate tonal (sinusoidal) noises. These results are invaluable in choosing an ANC design scheme.

Key concepts: Loudspeaker, Noise (video), Noise reduction, Computer science, Reduction (mathematics), Active noise control, SIGNAL (programming language), Speech recognition

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