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Journal ArticleDOI

Acoustic beamforming for noise source localization - Reviews, methodology and applications

TLDR
The main concepts of beamforming, starting from the very basics and progressing on to more advanced concepts and techniques are presented, in order to give the reader the possibility to identify concepts and references which might be useful for her/his work.
About
This article is published in Mechanical Systems and Signal Processing.The article was published on 2019-04-01. It has received 191 citations till now. The article focuses on the topics: Beamforming & Noise.

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Citations
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Journal ArticleDOI

A survey of sound source localization with deep learning methods

TL;DR: A survey of deep learning methods for single and multiple sound source localization in indoor environments is presented in this article , with a focus on sound sources localization in environments where reverberation and diffuse noise are present.
Journal ArticleDOI

Box-cox-sparse-measures-based blind filtering: Understanding the difference between the maximum kurtosis deconvolution and the minimum entropy deconvolution

TL;DR: This research investigates an underlying connection between the minimum entropy deconvolution and the maximum kurtosis deconVolution by using the Box-Cox sparse measures (BCSM), and demonstrates that the proposed method can be used to detect multiple faults using a single measurement set.
Journal ArticleDOI

Deep learning-based method for multiple sound source localization with high resolution and accuracy

TL;DR: A fully convolutional neural network with an encoder-decoder structure to estimate the multiple sources’ positions and strength precisely is proposed, and it is demonstrated that the proposed deep learning model significantly outperforms the model-based methods.
Journal ArticleDOI

Box-cox-sparse-measures-based blind filtering: Understanding the difference between the maximum kurtosis deconvolution and the minimum entropy deconvolution

TL;DR: In this article , a generalized sparse measure, called Box-Cox sparse measures (BCSM), has been proposed to establish a connection between the kurtosis and the negative entropy, which can be used to detect multiple faults using a single measurement set.
Journal ArticleDOI

Two-dimensional multiple-snapshot grid-free compressive beamforming

TL;DR: It outperforms the single-snapshot grid-free compressive beamforming in terms of denoising, DOA estimation and strength quantification accuracy and resolution and stands up whether a standard uniform rectangular array or a non-uniform array constituted by a small number of microphones is utilized.
References
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Journal ArticleDOI

High-resolution frequency-wavenumber spectrum analysis

TL;DR: In this article, a high-resolution frequency-wavenumber power spectral density estimation method was proposed, which employs a wavenumber window whose shape changes and is a function of the wave height at which an estimate is obtained.
Journal ArticleDOI

Bayesian-Based Iterative Method of Image Restoration

TL;DR: An iterative method of restoring degraded images was developed by treating images, point spread functions, and degraded images as probability-frequency functions and by applying Bayes’s theorem.
Journal ArticleDOI

An iterative technique for the rectification of observed distributions

TL;DR: In this article, the authors consider the problem of determining the distribution of proper motions in a line-of-sight line of sight (LoSOS) image from a given number count.
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