Wu Xiaojing, Guo Weiming, Cai Wensheng, Shao Xueguang, Pan Zhongxiao
Department of Chemistry, University of Science and Technology of China, Hefei, Anhui 230026, China.
Talanta. 2003 Dec 23;61(6):863-9. doi: 10.1016/S0039-9140(03)00371-0.
An effective method for detection of weak analytical signals with strong noise background is proposed based on the theory of stochastic resonance (SR). Compared with the conventional SR-based algorithms, the proposed algorithm is simplified by changing only one parameter to realize the weak signal detection. Simulation studies revealed that the method performs well in detection of analytical signals in very high level of noise background and is suitable for detecting signals with the different noise level by changing the parameter. Applications of the method to experimental weak signals of X-ray diffraction and Raman spectrum are also investigated. It is found that reliable results can be obtained.
基于随机共振（SR）理论，提出了一种在强噪声背景下检测微弱分析信号的有效方法。与传统的基于SR的算法相比，该算法通过仅改变一个参数来简化，以实现微弱信号检测。仿真研究表明，该方法在检测极高噪声背景下的分析信号方面表现良好，并且通过改变参数适用于检测不同噪声水平的信号。还研究了该方法在X射线衍射和拉曼光谱实验微弱信号中的应用。结果发现可以获得可靠的结果。
