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BLIND DECONVOLUTION OF IMPACTING SIGNALS USING HIGHER-ORDER STATISTICS

✍ Scribed by J.-Y. Lee; A.K. Nandi

Publisher
Elsevier Science
Year
1998
Tongue
English
Weight
245 KB
Volume
12
Category
Article
ISSN
0888-3270

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✦ Synopsis

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 on kth-(and second)-order statistics. The efficiency and robustness of the schemes based on third-, fourth-, fifth-and sixth-order statistics are compared.

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