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Higher order statistics in signal processing and nanometric size analysis

N. CRETU1,* , I. M. POP1

Affiliation

  1. Physics Department, Transilvania University, Brasov, Romania

Abstract

A method for the characterisation of the distribution of nanoparticles is proposed, by using the skewness and kurtosis of experimental values. The method is analysed on several examples and the different properties it presents are extracted. Further, the method is applied on nanoparticle data in order to better characterise its distribution and to eliminate noise..

Keywords

Shape parameters, Skewness, Kurtosis, Kurtosis analysis.

Submitted at: March 20, 2008
Accepted at: Dec. 10, 2008

Citation

N. CRETU, I. M. POP, Higher order statistics in signal processing and nanometric size analysis, Journal of Optoelectronics and Advanced Materials Vol. 10, Iss. 12, pp. 3292-3299 (2008)