基于周期调节的随机共振算法对化学弱信号的检测研究

提出了一种新的随机共振算法,通过对系统的周期进行调节以实现系统的共振.讨论了实现共振的系统参数,并对模拟信号和拉曼光谱实验信号进行了处理.结果表明,该方法不仅可方便地用于弱化学信号的处理,克服检出信号的滞后现象,而且对不同噪声水平的信号均有良好的适用性.

Studies on the Detection of Weak Chemical Signal by Using a Stochastic Resonance Algorithm Based on Periodic Modulation

A new stochastic resonance algorithm for detection of weak chemical signal was proposed. The algorithm was achieved through periodic modulation to realize the system resonance. After a detailed discussion of the parameters in the system, a simulated signal and experimental noisy signals of a set of CCl 4 sample were analyzed by the method. It was proven that the proposed algorithm is very efficient in improving the signal to noise ratio of weak signals and a good performance of detection of weak signals with different S/N ratio can be ensured under the optimized conditions.