Multiscale blind deconvolution of sensor-array signals via scale transform

Meltem Izzetoglu; Tayfun Akgul

doi:10.1117/12.367667

2 November 1999 Multiscale blind deconvolution of sensor-array signals via scale transform

Meltem Izzetoglu, Tayfun Akgul

Proceedings Volume 3807, Advanced Signal Processing Algorithms, Architectures, and Implementations IX; (1999) https://doi.org/10.1117/12.367667
Event: SPIE's International Symposium on Optical Science, Engineering, and Instrumentation, 1999, Denver, CO, United States

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.

Citation Download Citation

Meltem Izzetoglu and Tayfun Akgul "Multiscale blind deconvolution of sensor-array signals via scale transform", Proc. SPIE 3807, Advanced Signal Processing Algorithms, Architectures, and Implementations IX, (2 November 1999); https://doi.org/10.1117/12.367667

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