Parameter Optimization Strategy for the Savitzky-Golay Smoothing Filter in Spectral Signal Processing

• Main Authors: YEN-JU CHEN, 陳彥儒
• Other Authors: JHENG-HAO,KE
• Format: Others
• Language: zh-TW
• Published: 2012
• Online Access: http://ndltd.ncl.edu.tw/handle/89958617230071057496

碩士 === 國立臺灣科技大學 === 自動化及控制研究所 === 100 === Measurement of the spectrum is susceptible to noise impact easily, therefore, when the signal slightly changes, it will be misunderstand as noise, causing signal distortion, thus, the noise filter is an important job, initial input spectral signal can be classified into line spectrum, broad-band spectrum, mixed the broad-band spectrum and line spectrum, line spectrum uses the Gaussian fitting, the broad-band spectrum uses S-G filter for filtering, the S-G filter parameters uses the FOA algorithm to find the optimal parameters automatically, then find each parameter to draw a map and find a representative point, hence S-G filter can be completed quickly, mixed the broad-band spectrum and line spectrum should separate to deal with the filter, finally, using merged method to proceed filter and achieve this objective, the experiment simulated result indicates that using RMS to find representative points can know spectrometer resolution is 0.2 nm, polynomial order is 8，moving window of 129 is the best, spectrometer resolution is 1 nm, the polynomial order is 8, moving window of 39 is the best, spectrometer resolution is 3 nm, polynomial order is 9, moving window of 19 is the best, so with the known resolution of hardware, S-G filter can be quickly completed.