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Proceedings Paper

Multiscale blind deconvolution of sensor-array signals via scale transform
Author(s): Meltem Izzetoglu; Tayfun Akgul
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Paper Abstract

In this paper we introduce a multi-scale deconvolution technique performed in the scale-domain. In sensor array applications such as in radar, sonar and seismic processing, the sensor outputs are modeled as the convolution of the unknown source signal with various unknown system impulse responses that are scaled versions of each other with unknown scale parameters. In many applications these signals or the scaling parameters are needed to be estimated only from the sensor outputs. In our earlier work, we estimated the unknown scale parameters by using properties of the scale transform and then employed existing deconvolution algorithms. Here, we derive the multi-scale blind deconvolution algorithm in the scale transform domain. The performance of the method is illustrated using simulation examples.

Paper Details

Date Published: 2 November 1999
PDF: 8 pages
Proc. SPIE 3807, Advanced Signal Processing Algorithms, Architectures, and Implementations IX, (2 November 1999); doi: 10.1117/12.367667
Show Author Affiliations
Meltem Izzetoglu, Drexel Univ. (United States)
Tayfun Akgul, Drexel Univ. (United States)

Published in SPIE Proceedings Vol. 3807:
Advanced Signal Processing Algorithms, Architectures, and Implementations IX
Franklin T. Luk, Editor(s)

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