Home > ENGINEERING > COMPUTER > CS_TECHREP > 679
Sio-Long Lo, Macau University of Science and Technology Gang Xiang, The University of Texas at El Paso
12-2010
Technical Report: UTEP-CS-10-28a
Published in Proceedings of the 30th Annual Conference of the North American Fuzzy Information Processing Society NAFIPS'2011, El Paso, Texas, March 18-20, 2011.
In many practical problems such as radar imaging, it is useful to compute the variance-to-mean ratio. The need is important because for the sum of k identical independent signal components, both the variance and the mean are multiplied by k, so this ratio is independent on k and thus, provides useful information about the components. In practice, we only know the samples values with uncertainty. It is therefore necessary to compute the variance-to-mean ratio under this uncertainty. In this paper, we present efficient algorithms for computing this ratio under interval and fuzzy uncertainty.
DOWNLOADS
Since April 02, 2012
Computer Engineering Commons
Advanced Search
Comments
Technical Report: UTEP-CS-10-28a
Published in Proceedings of the 30th Annual Conference of the North American Fuzzy Information Processing Society NAFIPS'2011, El Paso, Texas, March 18-20, 2011.