Minimax filters for microphone arrays

Minimax filters for microphone arrays

Conventionally, minimax spatial/spectral filters for microphone arrays are designed by first discretizing the spatial and frequency domains into a finite number of grid points and then performing the optimization over these points. The drawback with this approach is that the response of the spatial/...

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Veröffentlicht in:IEEE transactions on circuits and systems. 2, Analog and digital signal processing Analog and digital signal processing, 1999-12, Vol.46 (12), p.1522-1524
Hauptverfasser: Lau, B.K., Leung, Y.H., Teo, K.L., Steeram, V.
Format: Artikel
Sprache:eng
Schlagworte:
Antenna arrays
Australia
Broadband antennas
Delay
Design optimization
Finite impulse response filter
Frequency domain analysis
Microphone arrays
Minimax techniques
Receiving antennas
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container_title IEEE transactions on circuits and systems. 2, Analog and digital signal processing
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creator Lau, B.K.
Leung, Y.H.
Teo, K.L.
Steeram, V.
description Conventionally, minimax spatial/spectral filters for microphone arrays are designed by first discretizing the spatial and frequency domains into a finite number of grid points and then performing the optimization over these points. The drawback with this approach is that the response of the spatial/spectral filters in between the grid points can be poor. More recently, an approach that performs the minimax design over the continuum of points in the decision space has appeared in the literature. In this brief, we describe an approach to solving this continuous decision space design problem that is numerically more elegant and efficient. The effectiveness of the new method is illustrated by a numerical example.
doi_str_mv 10.1109/82.809540
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subjects Antenna arrays
Australia
Broadband antennas
Delay
Design optimization
Finite impulse response filter
Frequency domain analysis
Microphone arrays
Minimax techniques
Receiving antennas
title Minimax filters for microphone arrays
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