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Proceedings ArticleDOI

Adaptive noise cancellation with directional microphones

Gary W. Elko
- pp 4
TLDR
The spatial correlation functions for N/sup th/-order differential microphones in spherically isotropic noise fields are investigated and the results are used to calculate the amount of achievable cancellation from an adaptive noise cancellation application using combinations of differential microphones to remove unwanted noise from a desired signal.
Abstract
The spatial correlation function between directional microphones is useful in the design and analysis of the performance of these microphones in actual acoustic noise fields. These correlation functions are well known for omnidirectional receivers, but not well known for directional receivers. This paper investigates the spatial correlation functions for N/sup th/-order differential microphones in spherically isotropic noise fields. The results are used to calculate the amount of achievable cancellation from an adaptive noise cancellation application using combinations of differential microphones to remove unwanted noise from a desired signal. The results are also useful in determining signal-to-noise ratio gains from arbitrarily positioned differential microphone elements in microphone array applications.

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Citations
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A MEMS-Based Power-Scalable Hearing Aid Analog Front End

TL;DR: A dual-channel directional digital hearing aid front end using microelectromechanical-systems microphones, and an adaptive-power analog processing signal chain are presented.
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TL;DR: In this paper, a system and method for suppressing noise in one or more of at least first and second channels is proposed, where a magnitude difference of signals in the first and the second channels, as well as a magnitude sum of the signals in both channels are obtained.

Fully Differential Difference Amplifier based Microphone Interface Circuit and an Adaptive Signal to Noise Ratio Analog Front end for Dual Channel Digital Hearing Aids

TL;DR: In this article, a dual-channel directional digital hearing aid (DHA) front-end using a fully differential difference amplifier (FDDA) based Microphone interface circuit (MIC) for a capacitive Micro Electro Mechanical Systems (MEMS) microphones and an adaptive-power analog font end (AFE) is presented.
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Noise cancellation apparatus

TL;DR: Electrical signal is subtracted from the signal corresponding to the voice and the background noise obtained from the first microphone, substantially to generate a signal representative of the voice.
References
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Journal ArticleDOI

Adaptive noise cancelling: Principles and applications

TL;DR: It is shown that in treating periodic interference the adaptive noise canceller acts as a notch filter with narrow bandwidth, infinite null, and the capability of tracking the exact frequency of the interference; in this case the canceller behaves as a linear, time-invariant system, with the adaptive filter converging on a dynamic rather than a static solution.
PatentDOI

Noise cancellation apparatus

TL;DR: In this article, the authors propose an approach for reducing acoustic background noise for use with a telephone handset (10) or a boom microphone device (100) or an audio boom headset (401) or the like.
Journal ArticleDOI

Point-to-point correlation of sound pressures in reverberation chambers

TL;DR: The point-to-point correlation of the sound pressures has received little attention except for an elegant paper by Cook et al. published in 1955 as mentioned in this paper, which showed that under certain conditions it can asymptotically approach Cook's formula.
Proceedings ArticleDOI

Adaptive noise reduction in aircraft communication systems

TL;DR: Spectral analysis of the data showed that the diffuseness of the ambient noise fieid, along With the microphone characteristics, has a significant effect on the performance of adaptive noise cancellation.
Patent

Noise cancellation apparatus

TL;DR: Electrical signal is subtracted from the signal corresponding to the voice and the background noise obtained from the first microphone, substantially to generate a signal representative of the voice.
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The results are also useful in determining signal-to-noise ratio gains from arbitrarily positioned differential microphone elements in microphone array applications.