Title :
Computing the range of variance-to-mean ratio under interval and fuzzy uncertainty
Author :
Lo, Sio-Long ; Xiang, Gang
Author_Institution :
Fac. of Inf. Technol., Macau Univ. of Sci. & Technol. (MUST), Taipa, China
Abstract :
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.
Keywords :
fuzzy set theory; signal processing; statistical distributions; fuzzy uncertainty; identical independent signal components; interval uncertainty; variance-to-mean ratio; Algorithm design and analysis; Dispersion; Mathematical model; Noise; Radar imaging; Sorting; Uncertainty;
Conference_Titel :
Fuzzy Information Processing Society (NAFIPS), 2011 Annual Meeting of the North American
Conference_Location :
El Paso, TX
Print_ISBN :
978-1-61284-968-3
Electronic_ISBN :
Pending
DOI :
10.1109/NAFIPS.2011.5752040