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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 …
Blind deconvolution of audio-frequency signals using the ...
https://www.researchgate.net/publication/8414981_Blind_deconvolution_of_audio-frequency_signals_using_the_self-deconvolving_data_restoration_algorithm
The operation can be performed without prior knowledge of the detection system, a technique known as blind deconvolution. The extraction process, designated self-deconvolving data reconstruction...
Blind Deconvolution - an overview | ScienceDirect Topics
https://www.sciencedirect.com/topics/computer-science/blind-deconvolution
Blind deconvolution involves the estimation of the point spread function as well as the image. This is a very difficult and challenging problem. We have investigated various approaches to the blind deconvolution problem in ultrasonic image reconstruction.
Blind deconvolution of audio-frequency signals using the ...
https://ui.adsabs.harvard.edu/abs/2004ASAJ..116..373C/abstract
Blind deconvolution of audio-frequency signals using the self-deconvolving data restoration algorithm Caron, James N. Abstract. 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 ...
Blind Deconvolution Meets Blind Demixing: Algorithms and ...
https://www.math.ucdavis.edu/~strohmer/papers/2015/BlindDeconvDemix.pdf
just one received signal y? This challenging problem, which intertwines blind deconvolution with blind demixing, appears in a variety of applications, such as audio processing, image processing, neuroscience, spectroscopy, and astronomy. It is also expected to play a central role in connection with the future Internet-of-Things.
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