光谱学与光谱分析
光譜學與光譜分析
광보학여광보분석
SPECTROSCOPY AND SPECTRAL ANALYSIS
2014年
7期
1969-1972
,共4页
陈鹏飞%田地%乔淑君%杨光
陳鵬飛%田地%喬淑君%楊光
진붕비%전지%교숙군%양광
激光诱导击穿光谱%连续小波变换%自动寻峰%重叠峰分辨
激光誘導擊穿光譜%連續小波變換%自動尋峰%重疊峰分辨
격광유도격천광보%련속소파변환%자동심봉%중첩봉분변
Laser-induced breakdown spectroscopy%Continuous wavelet transform%Auto peak detection%Resolving orerlapped spectra
谱线寻峰在激光诱导击穿光谱(laser-induced breakdown spectroscopy )中是必不可少的步骤,然而噪声和背景的存在,干扰了寻峰的准确性。为了提高L IBS寻峰中重叠峰分辨能力和自适应能力,提出一种适用于L IBS谱图的自动寻峰方法。将基于连续小波变换的脊线寻峰法引入到L IBS中,探讨了连续小波变换中的小波母函数的选择并优化了尺度参数和平移参数,提出一套脊线校正方法对脊线寻峰法进行了改进。实验结果表明,该方法与直接比较法、导数法和脊线寻峰法相比,在重叠峰分辨能力和寻峰精度等方面优势显著,可应用于L IBS数据处理。
譜線尋峰在激光誘導擊穿光譜(laser-induced breakdown spectroscopy )中是必不可少的步驟,然而譟聲和揹景的存在,榦擾瞭尋峰的準確性。為瞭提高L IBS尋峰中重疊峰分辨能力和自適應能力,提齣一種適用于L IBS譜圖的自動尋峰方法。將基于連續小波變換的脊線尋峰法引入到L IBS中,探討瞭連續小波變換中的小波母函數的選擇併優化瞭呎度參數和平移參數,提齣一套脊線校正方法對脊線尋峰法進行瞭改進。實驗結果錶明,該方法與直接比較法、導數法和脊線尋峰法相比,在重疊峰分辨能力和尋峰精度等方麵優勢顯著,可應用于L IBS數據處理。
보선심봉재격광유도격천광보(laser-induced breakdown spectroscopy )중시필불가소적보취,연이조성화배경적존재,간우료심봉적준학성。위료제고L IBS심봉중중첩봉분변능력화자괄응능력,제출일충괄용우L IBS보도적자동심봉방법。장기우련속소파변환적척선심봉법인입도L IBS중,탐토료련속소파변환중적소파모함수적선택병우화료척도삼수화평이삼수,제출일투척선교정방법대척선심봉법진행료개진。실험결과표명,해방법여직접비교법、도수법화척선심봉법상비,재중첩봉분변능력화심봉정도등방면우세현저,가응용우L IBS수거처리。
Spectrum peak detection in the laser-induced breakdown spectroscopy (LIBS) is an essential step ,but the presence of background and noise seriously disturb the accuracy of peak position .The present paper proposed a method applied to automatic peak detection for LIBS spectrum in order to enhance the ability of overlapping peaks searching and adaptivity .We introduced the ridge peak detection method based on continuous wavelet transform to LIBS ,and discussed the choice of the mother wavelet and optimized the scale factor and the shift factor .This method also improved the ridge peak detection method with a correcting ridge method .The experimental results show that compared with other peak detection methods (the direct comparison method ,deriva-tive method and ridge peak search method ) ,our method had a significant advantage on the ability to distinguish overlapping peaks and the precision of peak detection ,and could be be applied to data processing in LIBS .