Detection of Weak Chemical Signal by Using A Two-layer Stochastic Resonance Algorithm

Wu Xiaojing, Guo Weimin, Cai Wensheng^*, Shao Xueguang, Pan Zhongxiao
(Department of Chemistry, University of Science and Technology of China, Hefei 230026)

Abstract Based on the theory of stochastic resonance (SR), a new method, named as two-layer stochastic resonance algorithm, was proposed for detection of weak analytical signals. The method gradually enhances the weak signal and improves the signal-to-noise ratio (SNR). By application of the method to a simulated signal and a weak chromatographic signal, it was proven that the SNR of weak signals can be greatly improved by this method. It may be an efficient tool for analysis of samples with trace or ultratrace concentration.
Key words Stochastic resonance, Algorithm, Signal detection

双层随机共振算法用于弱化学信号的检测