Abstract
We propose a new method for the blind deconvolution of a discrete linear system perturbed with additive noise. The method comes from a characterization of discrete variables when perturbed with additive noise with unknown variance together with a characterization of this variance through Hankel matrix. Based on this probabilistic description, an estimator is proposed for the inverse system and the variance of the noise. These estimators are shown to be consistent under weak assumptions, whatever the signal-to-noise ratio is. In particular, the input signal needs not be independently distributed. Numerical examples demonstrate the effectiveness of the method, even when nonstationary signals are used as inputs.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
