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 吴晓静 郭卫民 蔡文生* 邵学广 潘忠孝 (中国科学技术大学化学系 合肥 230026) 摘要 提出了一种检测弱分析化学信号的新方法棗双层随机共振算法。该方法以随机共振理论为基础，对分析信号进行逐级放大，提高弱分析化学信号的信噪比。通过对模拟信号和弱色谱信号的研究，表明该方法能较好地提高弱信号的信噪比，有望成为弱信号分析及痕量样品分析的有力工具。 关键词 随机共振 算法 信号检测 * 联系人 蔡文生 女，37 岁，教授，主要从事化学计量学及分子模拟研究。 E-mail:wscai@ustc.edu.cn 国家自然科学基金资助项目(20075024) 2002-04-11 收稿，2002-06-10 修回 (PDF全文下载c02096)