Multiscale blind deconvolution of sensor-array signals via scale transform

Details Multiscale blind deconvolution of sensor-array signals via scale transform Multiscale blind deconvolution of sensor-array signals via scale transform

Nov 1999

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1999spie.3807..514i&link_type=abstract

Proc. SPIE Vol. 3807, p. 514-521, Advanced Signal Processing Algorithms, Architectures, and Implementations IX, Franklin T. Luk;

Computer Science

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Scientific paper

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.

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