Title :
Raman spectral analysis based on time-frequency analysis
Author :
Chou, Jen-Hsiang ; Hsu, Chih-Ming ; Wang, Shun-Yuan ; Lin, Chii-Ruey ; Lee, Ching-Yin
Author_Institution :
Dept. of Electr. Eng., Nat. Taipei Univ. of Technol., Taipei, Taiwan
Abstract :
In this paper, we present a proposed method for analyzing Raman spectra of Functionalized multiwall carbon nano-tubes (MWCNTs) by using empirical model decomposition (EMD). Then, Hilbert-Huang transform (HHT) is adopted to analyze Raman spectra of functionalized MWCNTs. we demonstrate the performance of HHT compare with fast short time Fourier transform (STFT) and enhanced Morlet transform (EMT). The experimental results show that the proposed method performs a good decomposition for identifying D band and G band pattern in MWCNTs.
Keywords :
Hilbert transforms; Raman spectra; carbon nanotubes; chemical engineering computing; chemical vapour deposition; fast Fourier transforms; pattern recognition; source separation; spectral analysis; time-frequency analysis; D band pattern identification; EMD; EMT; G band pattern identification; HHT; Hilbert-Huang transform; MPCVD; MWCNT; Raman spectral analysis; STFT; empirical model decomposition; enhanced Morlet transform; fast short time Fourier transform; functionalized multiwall carbon nanotubes; time-frequency analysis; Carbon; Manufacturing; Plasma temperature; Substrates; Transforms; Empirical Model Decomposition; Hilbert-Huang Transform; Raman Spectral Analysis;
Conference_Titel :
Systems, Man, and Cybernetics (SMC), 2012 IEEE International Conference on
Conference_Location :
Seoul
Print_ISBN :
978-1-4673-1713-9
Electronic_ISBN :
978-1-4673-1712-2
DOI :
10.1109/ICSMC.2012.6377987
