Modeling of non-gaussian AR model with transient coefficients using wavelet basis

  • Authors:
  • Lisha Sun;Minfen Shen;Weiling Xu;Patch Beadle

  • Affiliations:
  • Dept. of Electronic Engineering, Shantou University, Guangdong, China;Dept. of Electronic Engineering, Shantou University, Guangdong, China;Dept. of Electronic Engineering, Shantou University, Guangdong, China;School of System Engineering, Portsmouth University, Portsmouth, U.K.

  • Venue:
  • PDCAT'04 Proceedings of the 5th international conference on Parallel and Distributed Computing: applications and Technologies
  • Year:
  • 2004

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Abstract

This paper focuses on the modeling of non-Gaussian autoregressive (AR) model for a wide range of physical signals. A practical algorithm based on higher-order cumulants is proposed to deal with the problem of estimating the non-Gaussian AR model with transient coefficients. Wavelet basis is used to identify the transient coefficients. The performance in terms of Haar and Morlet basis is evaluated with non-stationary processes. The experimental results show the flexibility of capturing the local events by using the presented model.