NDLI: A shortcut numerical simulation approach for colored non-Gaussian processes

Content Provider	IEEE Xplore Digital Library
Author	Pingbo Wang Suofu Tang Chaoyang Ma Yue Liu
Copyright Year	2012
Description	Author affiliation: Underwater Acoustic Laboratory, Naval University of Engineering, Wuhan, China (Pingbo Wang) \|\| Sonar Equipments Workshop, Naval 702 Maintenance and Repairs Factory, Shanghai, China (Chaoyang Ma) \|\| Department of Equipments, Navy Force No. 92910, Zhoushan, China (Suofu Tang) \|\| Electronics Engineering College, Naval University of Engineering, Wuhan, China (Yue Liu)
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.
Starting Page	1660
Ending Page	1663
File Size	237631
Page Count	4
File Format	PDF
ISBN	9781467301985
e-ISBN	9781467301992
DOI	10.1109/ICSAI.2012.6223360
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-05-19
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Additives Shape Autoregressive filter Fitting Probability density function Non-white Sampling methods Numerical simulation Gaussian mixture Non-Gaussian Numerical models Composite sampling
Content Type	Text
Resource Type	Article

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