Trellis-based deconvolution of ultrasonic echoes

Richard Gut, Peter Kreier, George S. Moschytz

Research output: Contribution to journalConference articlepeer-review

2 Scopus citations


A novel deconvolution algorithm is proposed for ultrasonic (us) echoes from layered materials. The basic idea is to model the reflectivity functions as well-defined sparse sequences and to perform a maximum-likelihood (ML) sequence estimation over the set of these sequences. A tree-based sequence estimation exhibits an exponentially growing complexity, but can in this case be converted into a trellis-based estimation with a linearly growing complexity. Deconvolution results of measured us-signals are given to confirm the theory. They demonstrate that the a priori knowledge introduced by the reduction of the solution space improves the deconvolution considerably.

Original languageEnglish
Pages (from-to)1384-1387
Number of pages4
JournalProceedings - IEEE International Symposium on Circuits and Systems
StatePublished - 1995
Externally publishedYes
EventProceedings of the 1995 IEEE International Symposium on Circuits and Systems-ISCAS 95. Part 3 (of 3) - Seattle, WA, USA
Duration: 30 Apr 19953 May 1995


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