Abstract
Experimental impacting signals with unknown measurement noise are examined using third-order statistics blind deconvolution. The impulse impact signals are recovered and the estimation of the time between impacts improved. The procedure for obtaining the optimal inverse filter is addressed using objective functions based onkth- (and second)-order statistics. The efficiency and robustness of the schemes based on a third-, fourth-, fifth- and sixth-order statistics are compared.
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