Name
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. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/ICSMC.2012.6377987 | SMC |
Keywords | Field | DocType |
raman spectral analysis,empirical model decomposition,pattern recognition,d band pattern identification,chemical vapour deposition,chemical engineering computing,mpcvd,spectral analysis,hilbert transforms,raman spectra,source separation,emd,mwcnt,stft,fast short time fourier transform,hilbert-huang transform,enhanced morlet transform,carbon nanotubes,g band pattern identification,emt,functionalized multiwall carbon nanotubes,hht,fast fourier transforms,time-frequency analysis,hilbert huang transform,time frequency analysis,carbon,manufacturing | D band,Analytical chemistry,Computer science,Control theory,Short-time Fourier transform,G band,Speech recognition,Fast Fourier transform,Time–frequency analysis,Carbon nanotube,Raman spectroscopy,Hilbert–Huang transform | Conference |
ISSN | ISBN | Citations |
1062-922X | 978-1-4673-1712-2 | 0 |
PageRank | References | Authors |
0.34 | 1 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jen-Hsiang Chou | 1 | 6 | 4.40 |
| Chih-Ming Hsu | 2 | 119 | 12.44 |
| Shun-Yuan Wang | 3 | 9 | 4.86 |
| Chii-Ruey Lin | 4 | 1 | 3.33 |
| Ching-Yin Lee | 5 | 2 | 3.18 |