A promising recent development on acoustic source localization and source strength estimation is the generalized inverse beamforming, which is based on the microphone array cross-spectral matrix eigenstructure. This method presents several advantages over the conventional beamforming, including a higher accuracy on the source center localization and strength estimation even with distributed coherent sources. This paper aims to improve the strength estimation of the generalized inverse beamforming method with an automated regularization factor definition. Also in this work, a virtual target grid is introduced, and source mapping and strength estimation are obtained disregarding, as much as possible, the reflections influence. Two simple prob...
SIGLEAvailable from British Library Document Supply Centre-DSC:8715.888(279) / BLDSC - British Libra...
Conventional beamforming is a common method to localize sound sources with a microphone array. The m...
In this paper, source localization and dereverberation are formulated jointly as an inverse problem....
A promising recent development on acoustic source localization and source strength estimation is the...
In the last years, acoustic source identification has gained special attention, mainly due to new en...
ABSTRACT Conventional beamforming, among the several techniques that can be used for noise source lo...
Generalized cross validation (GCV) provides an effective method for the determination of optimal reg...
Conventional beamforming, among the several techniques that can be used for noise source localizatio...
Inverse methods for acoustic source mapping have gathered the attention of the beamforming community...
An important inverse problem in the field of acoustics is that of reconstructing the strengths of a ...
The use of arrays of microphones to locate and characterise acoustic sources is becoming more common...
This paper deals with the discrete inverse problem in acoustics. It is assumed that a number of acou...
Clustering Inverse Beamforming is an array-based acoustic imaging technique to solve inverse problem...
Two regularization methods, Tikhonov regularization and singular value discarding, are used to impro...
Recently, spherical microphone arrays (SMA) have become increasingly significant for source localiza...
SIGLEAvailable from British Library Document Supply Centre-DSC:8715.888(279) / BLDSC - British Libra...
Conventional beamforming is a common method to localize sound sources with a microphone array. The m...
In this paper, source localization and dereverberation are formulated jointly as an inverse problem....
A promising recent development on acoustic source localization and source strength estimation is the...
In the last years, acoustic source identification has gained special attention, mainly due to new en...
ABSTRACT Conventional beamforming, among the several techniques that can be used for noise source lo...
Generalized cross validation (GCV) provides an effective method for the determination of optimal reg...
Conventional beamforming, among the several techniques that can be used for noise source localizatio...
Inverse methods for acoustic source mapping have gathered the attention of the beamforming community...
An important inverse problem in the field of acoustics is that of reconstructing the strengths of a ...
The use of arrays of microphones to locate and characterise acoustic sources is becoming more common...
This paper deals with the discrete inverse problem in acoustics. It is assumed that a number of acou...
Clustering Inverse Beamforming is an array-based acoustic imaging technique to solve inverse problem...
Two regularization methods, Tikhonov regularization and singular value discarding, are used to impro...
Recently, spherical microphone arrays (SMA) have become increasingly significant for source localiza...
SIGLEAvailable from British Library Document Supply Centre-DSC:8715.888(279) / BLDSC - British Libra...
Conventional beamforming is a common method to localize sound sources with a microphone array. The m...
In this paper, source localization and dereverberation are formulated jointly as an inverse problem....