基于锁相放大算法的微弱光谱分析

由于强噪声背景的影响,在进行光谱探测的过程中收集到的信号很微弱。为了能有效的去除噪声,提出了采用锁相放大算法去除噪声提取光谱特征信号的方法。研制编写锁相放大算法,对收集的光谱数据进行处理,分析处理后的结果,光谱特征获得了放大,进一步进行两种结果的中值归一化对比,该光谱曲线与原始光谱曲线线型基本一致,且具有平滑去噪效果。该成果对微弱光谱信号去除噪声的研究具有实际意义。

Analysis of Weak Spectrum Based on Lock-in Amplifier Algorithm

Due to the influence of strong noise, the signal collected in process of spectral detection was very weak. In order to remove effectively the noise, a method based on the lock-in amplifier algorithm is applied to remove noise and to extract the characteristic signal of spectra. The lock-in amplifier algorithm is programmed to process the spectral data collected and to analyze the results,it is found that spectral features were amplified. To compare further the medi-an normalization of the two results,the curve is basically consistent with the original spectral curve,it has a smoothing effect of noise reduction. The results have practical significance for research of the noise removal from the weak spec-tral signal.