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Improving the efficiency of deconvolution algorithms for ...
https://www.bksv.com/media/doc/bn1726.pdf#:~:text=Some%20well-known%20deconvolution%20algorithms%20include%20CLEAN%2C8initially%20intro-%20duced,that%20has%20been%20applied%20in%20the%20acoustic%20literature.6%2C13
Improving the efficiency of deconvolution algorithms …
https://www.bksv.com/media/doc/bn1726.pdf
Algorithm (FISTA).19 As a reference, the Fourier-based non-negative least squares (FFT-NNLS) algorithm, a sub-gradient projection algorithm known to produce computa-tionally efficient solutions to the sound source localization problem,6 is used to provide a benchmark of efficiency for the comparison with the proposed deconvolution algorithm.
Blind deconvolution of audio-frequency signals using the ...
https://asa.scitation.org/doi/full/10.1121/1.1751152
A signal processing algorithm has been developed in which a filter function is extracted from degraded data through mathematical operations. The filter function can be used to restore much of the degraded content of the data through use of a deconvolution process. The operation can be performed without prior knowledge of the detection system, a technique …
Deconvolution Algorithms — CASA Documentation
https://casa.nrao.edu/casadocs/casa-6.1.0/imaging/synthesis-imaging/deconvolution-algorithms
The CLEAN algorithm forms the basis for most deconvolution algorithms used in radio interferometry. The peak of the residual image gives the location and strength of a potential point source. The effect of the PSF is removed by subtracting a scaled PSF from the residual image at the location of each point source, and updating the model.
Comparison of multichannel signal deconvolution …
https://www.nature.com/articles/s41598-021-96551-w
Deconvolution algorithm: The deconvolution algorithm regards the received waveform as the convolution of the laser emission pulse and the target cross-section.
Understanding and evaluating blind deconvolution algorithms
https://people.csail.mit.edu/billf/publications/Understanding_and_Evaluating_Blind.pdf
Blind deconvolution is the subject of numerous papers in the signal and image processing literature, to name a few consider [1, 11, 24, 17, 19] and the survey in [13]. Despite the exhaustive research, results on real world images are rarely produced. Recent algorithms have proposed to ad-dress the ill-posedness of blind deconvolution by character-
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