Application of adaptive stochastic resonance algorithm in weak signal detection

An adaptive algorithm for extracting weak signal based on the theory of sto chastic resonance (SR) was proposed. It was implemented by investigating th e self-correlation of the outputs of the bistable system (with different mu ). The results show that the self-correlation will reach maximum when a sud den change of output occurs, and hence prove that SR is sensitive sharply t o the change of the parameters mu, and also provide one never method to exp ress the outputs which hasn't been solved till now. The adaptive algorithm was also applied to analyze the weak Laser-Raman spectrum of a CCl4 sample (liquid in capillary) which was measured with SPEX-1403 Laser-Raman spectro meter from 250 cm(-1) to 418 cm(-1) on 5 mW (output power of laser). The sp ectrum was analyzed with the adaptive algorithm by varying the data to (-4. 13, 3.50) and declining mu from 2.0 with step 0.01. The results obtained s how that the adaptive algorithm was able to detect the weak signal automati cally and correctly.