A technique for the optimization of the iteration (design) parameter of filters used in frequency-domain iterative deconvolution methods is presented. The technique allows the filter optimization to be performed in the frequency-domain instead of the time domain, which translates into tremendous saving of computation time. The technique provides a quantitative measure of the performance of the filter regarding noise reduction and filtration error. Illustrative examples using computer simulation as well as experimental data are given. The demonstrations show that the technique yields reliable results for the deconvolution of signals in the presence of noise.
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