Title :
Novel Peak-Search Algorithms of Raman Spectrum
Author :
Qiong, Li ; Haiyang, Liao ; Xiaozhu, Liu
Author_Institution :
Chongqing Univ., Chongqing
Abstract :
It is important to locate Raman characteristic peak in qualitative analysis and quantitative analysis of substance. Because of the insufficiencies of comparison method and derivative, convolution and singularity detection of the discrete wavelet transform are used in the peak-search processing of Raman spectrum. The result of experiment shows that peak position can be located by using the methods above accurately, and the precision of peak-search is improved in qualitative analysis and quantitative analysis of substance.
Keywords :
Raman spectra; convolution; discrete wavelet transforms; Raman spectrum; convolution detection; discrete wavelet transform; peak-search algorithms; qualitative analysis; quantitative analysis; singularity detection; substance; Algorithm design and analysis; Biology; Chemical technology; Convolution; Discrete wavelet transforms; Equations; Instruments; Laboratories; Raman scattering; Wavelet analysis; Raman spectrum; convolution; peak-search algorithms; singularity detection of the discrete wavelet transform;
Conference_Titel :
Electronic Measurement and Instruments, 2007. ICEMI '07. 8th International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4244-1136-8
Electronic_ISBN :
978-1-4244-1136-8
DOI :
10.1109/ICEMI.2007.4350700
