Name
Title | ||
|---|---|---|
Signal conditioning for imaging type Fourier spectroscopy using Independent Component Analysis |
Abstract | ||
|---|---|---|
Biomedical Signal Processing, in which Spectroscopic measurement plays a crucial role, has been the center of attraction by many researchers during the past few years. Two - dimensional imaging type Fourier spectroscopy is a technique which can limit the measuring depth into focal plane. Although the various substances including bio genic substances can be measured, measured results include two or more signals mixed together. In this paper, Independent Component Analysis known as ICA has been used to separate those mixed signals. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/BioCAS.2014.6981649 | BioCAS |
Keywords | Field | DocType |
biomedical optical imaging,independent component analysis,medical image processing,source separation,biogenic substances,biomedical signal processing,depth measurement,focal plane,independent component analysis,signal conditioning,two-dimensional imaging type Fourier spectroscopy,Biomedical signal processing,Fourier Spectroscopy,Independent component analysis | Signal conditioning,Ftir spectra,Computer science,Optics,Independent component analysis | Conference |
ISSN | Citations | PageRank |
2163-4025 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Abeygunawardhana, P.K.W. | 1 | 0 | 0.34 |
| Fujiwara, M. | 2 | 0 | 0.34 |
| Suzuki, S. | 3 | 0 | 0.34 |
| Ishimaru, I. | 4 | 0 | 0.34 |