Title :
A Monte Carlo approach to numerical deconvolution
Author_Institution :
University of California, Livermore, California
Abstract :
In this paper, a numerical procedure for solving deconvolution problems is presented. The procedure is based on the Monte-Carlo method which statistically estimates each element in the deconvolved excitation. A discrete Fourier transform technique is used to improve the quality of these estimates for a prescribed amount of computation.
Keywords :
Convolution; Deconvolution; Digital signal processing; Discrete Fourier transforms; Geophysics; Integral equations; Laboratories; Matrix decomposition; Monte Carlo methods; Optical sensors;
Conference_Titel :
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '76.
DOI :
10.1109/ICASSP.1976.1170117
