Abstract
This paper is motivated to generate a specified correlated non-Gaussian time series, which has widely applications such as communication and radar system evaluation. The method presented provides a simple procedure for modeling the required correlated non-Gaussian random sequences with good performance. The simulation results are carried out to show the simplicity and effectiveness of the proposed method.
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© 2004 Springer-Verlag Berlin Heidelberg
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Sun, L., Shen, M., Xu, W., Li, Z., Beadle, P. (2004). Model for Generating Non-gaussian Noise Sequences Having Specified Probability Distribution and Spectrum. In: Liew, KM., Shen, H., See, S., Cai, W., Fan, P., Horiguchi, S. (eds) Parallel and Distributed Computing: Applications and Technologies. PDCAT 2004. Lecture Notes in Computer Science, vol 3320. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30501-9_156
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DOI: https://doi.org/10.1007/978-3-540-30501-9_156
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-24013-6
Online ISBN: 978-3-540-30501-9
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