An adaptive algorithm for extracting weak signal based on the theory of stochastic resonance(SR) was proposed. It was implemented by investigating the self correlation of the outputs of the bistable system(with differ...An adaptive algorithm for extracting weak signal based on the theory of stochastic resonance(SR) was proposed. It was implemented by investigating the self correlation of the outputs of the bistable system(with different μ ). The results show that the self correlation will reach maximum when a sudden change of output occurs, and hence prove that SR is sensitive sharply to the change of the parameters μ , and also provide one novel method to express the outputs which hasnt been solved till now. The adaptive algorithm was also applied to analyze the weak Laser Raman spectrum of a CCl 4 sample(liquid in capillary) which was measured with SPEX 1403 Laser Raman spectrometer from 250 cm -1 to 418 cm -1 on 5 mW(output power of laser) . The spectrum was analyzed with the adaptive algorithm by varying the data to (-4 13, 3 50) and declining μ from 2 0 with step 0 01. The results obtained show that the adaptive algorithm was able to detect the weak signal automatically and correctly.展开更多
文摘An adaptive algorithm for extracting weak signal based on the theory of stochastic resonance(SR) was proposed. It was implemented by investigating the self correlation of the outputs of the bistable system(with different μ ). The results show that the self correlation will reach maximum when a sudden change of output occurs, and hence prove that SR is sensitive sharply to the change of the parameters μ , and also provide one novel method to express the outputs which hasnt been solved till now. The adaptive algorithm was also applied to analyze the weak Laser Raman spectrum of a CCl 4 sample(liquid in capillary) which was measured with SPEX 1403 Laser Raman spectrometer from 250 cm -1 to 418 cm -1 on 5 mW(output power of laser) . The spectrum was analyzed with the adaptive algorithm by varying the data to (-4 13, 3 50) and declining μ from 2 0 with step 0 01. The results obtained show that the adaptive algorithm was able to detect the weak signal automatically and correctly.
