DocumentCode :
2393628
Title :
A shortcut numerical simulation approach for colored non-Gaussian processes
Author :
Wang, Pingbo ; Tang, Suofu ; Ma, Chaoyang ; Liu, Yue
Author_Institution :
Underwater Acoust. Lab., Naval Univ. of Eng., Wuhan, China
fYear :
2012
fDate :
19-20 May 2012
Firstpage :
1660
Lastpage :
1663
Abstract :
Utilizing the composite sampling method, non-Gaussian processes with additive distribution form can be generated. By means of assignment of couples of poles on the zero-pole plot, the low order autoregressive filter which used in the qualitative colorizing can be realized. Passing non-Gaussian driving through autoregressive filter, the colored non-Gaussian processes which are often used in simulation research of non-Gaussian signal processing can be gotten. A numerical simulation instance of colored Gaussian mixture is given to illustrate the performance of this approach of combing composite sampling and qualitative colorizing.
Keywords :
sampling methods; signal processing; additive distribution form; colored Gaussian mixture; colored nonGaussian processes; composite sampling method; low order autoregressive filter; nonGaussian signal processing; numerical simulation; qualitative colorizing; zero-pole plot; Additives; Fitting; Numerical models; Numerical simulation; Probability density function; Sampling methods; Shape; Autoregressive filter; Composite sampling; Gaussian mixture; Non-Gaussian; Non-white;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems and Informatics (ICSAI), 2012 International Conference on
Conference_Location :
Yantai
Print_ISBN :
978-1-4673-0198-5
Type :
conf
DOI :
10.1109/ICSAI.2012.6223360
Filename :
6223360
Link To Document :
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