Name
Abstract | ||
|---|---|---|
In this paper, the author describes the wavelet packet decompostion(WPD) algorithm of EEG signal on digital signal processing (DSP) chip. The analyse of DSP hardware features and wavelet packet principle illustrate the relationship between them and then demonstrate the feasibility and celerity of the algorithm. Furthermore EEG signal is divided into equal frequency band through the CCS and then classified between left and right hand motor imagery with the way of power spectrum. Results indicate that the method is correct. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/EMEIT.2011.6023204 | EMEIT |
Keywords | Field | DocType |
eeg signal,digital signal processing (dsp) chip,hand motor imagery,wavelet transforms,electroencephalography,medical signal processing,wavelet packet decomposition,eeg signal decomposition,digital signal processing chip,matrix decomposition,power spectrum,wavelet packet decompostion,motor imagery,frequency band,real time,brain computer interface,chip,system integration,digital signal processing | Digital signal processing,Control theory,Computer science,Spectral density,Artificial intelligence,Wavelet packet decomposition,Wavelet transform,Wavelet,Computer vision,Pattern recognition,Frequency band,Network packet,Chip | Conference |
Volume | Issue | ISBN |
2 | null | 978-1-61284-087-1 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lei Sun | 1 | 26 | 15.36 |
| Jinhua Zhang | 2 | 13 | 6.40 |
| Sunan Wang | 3 | 38 | 10.17 |
| Xiaohu Li | 4 | 0 | 0.34 |