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Proceedings Paper

Identifying different types of stochastic processes with the same spectra
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Paper Abstract

We propose a new way of pattern recognition which can distinguish different stochastic processes even if they have the same power density spectrum. Known crosscorrelation techniques recognize only the same realizations of a stochastic process in the two signal channels. However, crosscorrelation techniques do not work for recognizing independent realizations of the same stochastic process because their crosscorrelation function and cross spectrum are zero. A method able to do that would have the potential to revolutionize identification and pattern recognition, techniques, including sensing and security applications. The new method we are proposing is able to identify independent realizations of the same process, and at the same time, does not give false alarm for different processes which are very similar in nature. We demonstrate the method by using different realizations of two different types of random telegram signals, which are indistinguishable with respect to power density spectra (PDS). We call this method bispectrum correlation coefficient (BCC) technique.

Paper Details

Date Published: 23 May 2005
PDF: 4 pages
Proc. SPIE 5846, Noise and Information in Nanoelectronics, Sensors, and Standards III, (23 May 2005); doi: 10.1117/12.609503
Show Author Affiliations
Jong U. Kim, Texas A&M Univ. (United States)
Laszlo B. Kish, Texas A&M Univ. (United States)
Gabor Schmera, Space and Naval Warfare System Ctr. San Diego (United States)


Published in SPIE Proceedings Vol. 5846:
Noise and Information in Nanoelectronics, Sensors, and Standards III
Janos A. Bergou; Janusz M. Smulko; Mark I. Dykman; Lijun Wang, Editor(s)

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