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Journal ArticleDOI

Design of Planar Differential Microphone Arrays With Fractional Orders

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TLDR
This article defines a directivity pattern that can achieve a continuous compromise between the pattern corresponding to the maximum DMA order and the omnidirectional pattern and shows how to determine analytically the proper fractional order of the DMA with a given target beampattern when either the value of the DF or WNG is specified.
Abstract
Differential microphone arrays (DMAs) often encounter white noise amplification, especially at low frequencies. If the array geometry and the number of microphones are fixed, one can improve the white noise amplification problem by reducing the DMA order. With the existing differential beamforming methods, the DMA order can only be a positive integer number. Consequently, with a specified beampattern (or a kind of beampattern), reducing this order may easily lead to over compensation of the white noise gain (WNG) and too much reduction of the directivity factor (DF), which is not optimal. To deal with this problem, we present in this article a general approach to the design of DMAs with fractional orders. The major contributions of this article include but are not limited to: 1) we first define a directivity pattern that can achieve a continuous compromise between the pattern corresponding to the maximum DMA order and the omnidirectional pattern; 2) by approximating the beamformer's beampattern with the Jacobi-Anger expansion, we present a method to find the proper differential beamforming filter so that its beampattern matches closely the target directivity pattern of fractional orders; and 3) we show how to determine analytically the proper fractional order of the DMA with a given target beampattern when either the value of the DF or WNG is specified, which is useful in practice to achieve the desired beampattern and spatial gain while maintaining the robustness of the DMA system.

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Citations
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Journal ArticleDOI

A Simple Theory and New Method of Differential Beamforming With Uniform Linear Microphone Arrays

TL;DR: A new theory of differential beamformers with uniform linear arrays is proposed, which shows clearly the connection between the conventional differential beamforming and the null-constrained differential beamforms methods.
Journal ArticleDOI

Differential Beamforming on Graphs

TL;DR: A class of differential beamformers, including the maximum white noise gain beamformer, the maximum directivity factor one, and optimal compromising beamformer are derived, from a graph perspective.
Journal ArticleDOI

Continuously steerable differential beamformers with null constraints for circular microphone arrays.

TL;DR: By analyzing the properties of the circular array topology, the null-constrained method is extended to include symmetric constraints, which is inherent in the design of circular arrays, which yields a design method for fully steerable differential beamformers that require only minimum information from the target beampattern.
Proceedings ArticleDOI

Robust and steerable kronecker product differential beamforming With rectangular microphone arrays

TL;DR: This paper considers rectangular shapes of planar microphone arrays and presents a differential beamforming method based on the so-called Kronecker product, which has many interesting properties, particularly the designed beamformer is fully steerable, and its robustness and the array gain can be easily controlled.
Proceedings ArticleDOI

Kronecker Product Beamforming with Multiple Differential Microphone Arrays

TL;DR: This paper proposes a method to design differential beamformers with larger arrays consisting of multiple DMAs, and takes advantage of the good properties of DMAs for the design of beamformer with any size of microphone array.
References
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- 01 Feb 1965 - 
TL;DR: The Handbook of Mathematical Functions with Formulas (HOFF-formulas) as mentioned in this paper is the most widely used handbook for mathematical functions with formulas, which includes the following:
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TL;DR: Clear and concise, this book explores how human listeners compensate for acoustic noise in noisy environments and suggests steps that can be taken to realize the full potential of these algorithms under realistic conditions.
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TL;DR: This second edition is an extensive modernization of the bestselling introduction to the subject of adaptive array sensor systems, taking the reader by the hand and leading them through the maze of jargon that often surrounds this highly technical subject.
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Microphone Arrays Signal Processing Techniques and Applications

TL;DR: This paper presents a meta-modelling architecture for microphone Array Processing that automates the very labor-intensive and therefore time-heavy and expensive process of manually shaping Microphone Arrays for Speech Input in Automobiles.
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Speech Dereverberation

TL;DR: Speech Dereverberation presents the most important current approaches to the problem of reverberation and defines the current state of the art and encourages further work on this topic by offering open research questions to exercise the curiosity of the reader.