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Volume 27 Issue 10
Oct.  2005
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Lu Wei-hong, Lu Peng-fei. A New Parameter Estimation of (1/ f)-Type Fractal Signal Based on Wavelet Analysis[J]. Journal of Electronics & Information Technology, 2005, 27(10): 1527-1530.
Citation: Lu Wei-hong, Lu Peng-fei. A New Parameter Estimation of (1/ f)-Type Fractal Signal Based on Wavelet Analysis[J]. Journal of Electronics & Information Technology, 2005, 27(10): 1527-1530.

A New Parameter Estimation of (1/ f)-Type Fractal Signal Based on Wavelet Analysis

  • Received Date: 2004-04-22
  • Rev Recd Date: 2004-09-07
  • Publish Date: 2005-10-19
  • The research purpose of this paper is to estimate the parameter vector (, 2,2w)of (1/f)-type fractal stochastic processes. Using wavelets, the paper has performed a series of algebraic operation to the variance of the observation wavelet coefficients of process, and presented the elaborate theoretical analysis. As a result, the parameter vector of fractional Brownian motions (fBm) in noise is introduced. The experimental results demonstrate that the new estimator is far simpler and more effective than the traditional ML estimator and the range of estimate parameter is wider. Moreover the distribution of noise is not restricted within Gauss processes.
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  • Wornell G, Oppenheim A. Estimation of fractal signals from[2]noise measurements using wavelets[J]. IEEE Trans. on Signal[3]Processing, 1992, 40(3): 611-623.[4]Ninness B. Estimation of noise[J].IEEE Trans. on Info. Theory.1998, 44(1):32-46[5]Mandelbrot B, Van Ness J. Fractional Brownian motions fractional noises and applications[J]. SIAM Rev. 1968, 10(4): 422-423.[6]Wornell G. Wavelet-based representation for the 1/f family fractal process[J].Proc. IEEE.1993, 81(1):1428-1450[7]Flandrin P. Wavelet analysis and synthesis of fractional Brownian motion[J].IEEE Trans. on Info. Theory.1992, 38(2):910-917[8]Tewfik A H, Kim M. Correlation structure of the discrete wavelet coefficients of fractional Brownian motion[J].IEEE Trans. on Info. Theory.1992, 38(2):904-909
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