The Test Statistic of the Two Sample Locally Optimum Rank Detector for Random Signals in Weakly Dependent Noise Models 


Vol. 35,  No. 8, pp. 709-712, Aug.  2010


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  Abstract

In this paper, the two sample locally optimum rank detector is obtained in the weakly dependent noise with non-zero temporal correlation between noise observations. The test statistic of the locally optimum rank detector is derived from the Neyman-Pearson lemma suitable for the two sample observation models, where it is assumed that reference observations are available in addition to regular observations. Two-sample locally optimum rank detecter shows the same performance with the one-sample locally optimum rank detector asymptotically. The structure of the two-sample rank detector is simpler than that of the one-sample rank detector because the sign statistic is not processed separately.

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  Cite this article

[IEEE Style]

J. Bae, "The Test Statistic of the Two Sample Locally Optimum Rank Detector for Random Signals in Weakly Dependent Noise Models," The Journal of Korean Institute of Communications and Information Sciences, vol. 35, no. 8, pp. 709-712, 2010. DOI: .

[ACM Style]

Jinsoo Bae. 2010. The Test Statistic of the Two Sample Locally Optimum Rank Detector for Random Signals in Weakly Dependent Noise Models. The Journal of Korean Institute of Communications and Information Sciences, 35, 8, (2010), 709-712. DOI: .

[KICS Style]

Jinsoo Bae, "The Test Statistic of the Two Sample Locally Optimum Rank Detector for Random Signals in Weakly Dependent Noise Models," The Journal of Korean Institute of Communications and Information Sciences, vol. 35, no. 8, pp. 709-712, 8. 2010.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880