Super-exponential methods for blind deconvolution

Ofir Shalvi; Ehud Weinstein

doi:10.1117/12.49772

1 December 1991 Super-exponential methods for blind deconvolution

Ofir Shalvi, Ehud Weinstein

Proceedings Volume 1565, Adaptive Signal Processing; (1991) https://doi.org/10.1117/12.49772
Event: San Diego, '91, 1991, San Diego, CA, United States

Abstract

We present a class of iterative methods for solving the problem of blind deconvolution of an unknown possibly non-minimum phase linear system driven by an unobserved input process. The methods converge monotonically at a very fast super-exponential rate to the desired solution in which the inverse of the unknown system is identified, and the input process is recovered up to a delay and possibly a constant phase shift. The proposed methods are universal in the sense that they do not impose any restrictions on the probability distribution of the input process, provided that it is non-Gaussian.

Citation Download Citation

Ofir Shalvi and Ehud Weinstein "Super-exponential methods for blind deconvolution", Proc. SPIE 1565, Adaptive Signal Processing, (1 December 1991); https://doi.org/10.1117/12.49772

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