Method on Estimating SNR of 1/F Fractal Signal

K. He and S.-X. Wang (PRC)


1/f Fractal Signal, Mutual Information, Autocorrelation Function, SNR


Since the level of SNR and the estimated error of it will affect the accuracy and validity of much arithmetic on signal estimation greatly, it is necessary for us to estimate the SNR of the signal quantificationally in advance. Based on fitting the autocorrelation function, a new method on estimating SNR of 1/f fractal signal is proposed in this paper, besides that, the study in this paper demonstrates that the proper total delay time for data fitting can be selected according to the mutual information function of the signal observed. The simulation results show that the result is much more accurate when fitting the data with proper total delay time than fitting with others.

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