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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://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 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
Request PDF | Blind deconvolution of audio-frequency signals using the self-deconvolving data restoration algorithm | A signal processing algorithm has …
Blind Deconvolution - an overview | ScienceDirect Topics
https://www.sciencedirect.com/topics/computer-science/blind-deconvolution
Blind deconvolution is a much harder problem than image restoration due to the interdependency of the unknown parameters. As in image restoration, in blind deconvolution certain constraints have to be utilized for both the impulse response of the degradation system and the original image to transform the problem into a well-posed one.
Deconvolution and blind Deconvolution of signal
https://www.mathworks.com/matlabcentral/answers/547827-deconvolution-and-blind-deconvolution-of-signal
Deconvolution and blind Deconvolution of signal. Learn more about signal processing, deconvolution, blind deconvolution, digital signal processing, audio, wavelet MATLAB
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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