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Please use this identifier to cite or link to this item: http://purl.org/purl/2855

Title: Statistical signal extraction using stable processes
Authors: Balakrishna, N
Hareesh, G
Keywords: Statistical signal extraction
Stable process
Issue Date: 2009
Publisher: Elsevier
Abstract: The standard models for statistical signal extraction assume that the signal and noise are generated by linear Gaussian processes. The optimum filter weights for those models are derived using the method of minimum mean square error. In the present work we study the properties of signal extraction models under the assumption that signal/noise are generated by symmetric stable processes. The optimum filter is obtained by the method of minimum dispersion. The performance of the new filter is compared with their Gaussian counterparts by simulation.
URI: http://dyuthi.cusat.ac.in/purl/2855
Appears in Collections:Dr.N. Balakrishna

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