This study examines a near-field acoustic holography method consisting of a sparse
formulation of the equivalent source method, based on the compressive sensing (CS) …

Deep learning-based methods are attracting interest in sound source localization, showing
promising results compared to conventional model-based approaches. While these deep …

Beamforming acoustic imaging technology, utilizing phased microphone arrays, enables
precise sound source localization and finds widespread application in aerodynamic wind …

Nowadays phased microphone arrays have become a standard technique for acoustic
source mapping. Compared with the conventional delay-and-sum beamforming method …

Beamforming results depend on the spatial resolution of the microphone array used, which
may lead to sources close to each other being considered as one. Deconvolution methods …

Noise source localization is considered a key technology for the low-noise design of
machinery and equipment. The spatial resolution of conventional beamforming localization …

Phased microphone arrays have become a standard technique for acoustic source
localization. Compared with beamforming algorithms such as the conventional …

Deep learning has achieved a vital breakthrough in the sound source localization and has
overcome the limitations of conventional model-based approaches. The deep learning …

Several deconvolution methods have been proposed to reduce the mainlobe width and
sidelobe intensity of conventional beamforming results without increasing the array aperture; …

Phased microphone arrays are used widely in the applications for acoustic source
localization. Deconvolution approaches such as DAMAS successfully overcome the spatial …