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 JSIP  Vol.4 No.3 , August 2013
Parametrically Optimal, Robust and Tree-Search Detection of Sparse Signals
Abstract: We consider sparse signals embedded in additive white noise. We study parametrically optimal as well as tree-search sub-optimal signal detection policies. As a special case, we consider a constant signal and Gaussian noise, with and without data outliers present. In the presence of outliers, we study outlier resistant robust detection techniques. We compare the studied policies in terms of error performance, complexity and resistance to outliers.
Cite this paper: A. Burrell and P. Papantoni-Kazakos, "Parametrically Optimal, Robust and Tree-Search Detection of Sparse Signals," Journal of Signal and Information Processing, Vol. 4 No. 3, 2013, pp. 336-342. doi: 10.4236/jsip.2013.43042.
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