Name
Abstract | ||
|---|---|---|
We propose a new approach based upon the adaptive chirplet transform (ACT) to characterize the time-dependent behavior of the visual evoked potential (VEP) from its initial transient portion (tVEP) to the steady-state portion (ssVEP). This approach employs a matching pursuit (MP) algorithm to estimate the chirplets and then a maximum-likelihood estimation (MLE) algorithm to refine the results. The ACT decomposes signals into Gaussian chirplet basis functions with four adjustable parameters, i.e., time-spread, chirp rate, time-center and frequency-center. In this paper, we show how these four parameters can be used to distinguish between the transient and the steady-state phase of the response. We also show that as few as three chirplets are required to represent a VEP response. Compared to decomposition with Gabor logons, a more compact representation can be achieved by using Gaussian chirplets. Finally, we argue that the adaptive chirplet spectrogram gives a superior visualization of VEP signals' time-frequency structures when compared to the conventional spectrogram. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1109/TBME.2006.873700 | Biomedical Engineering, IEEE Transactions |
Keywords | Field | DocType |
Gaussian processes,maximum likelihood estimation,medical signal processing,time-frequency analysis,visual evoked potentials,Gaussian chirplet basis functions,adaptive chirplet spectrogram,adaptive chirplet transform,chirp rate parameter,frequency-center parameter,initial transient VEP,matching pursuit algorithm,maximum-likelihood estimation,signal decomposition,steady-state VEP,time-center parameter,time-spread parameter,visual evoked potentials,Chirplet transform,tVEP and ssVEP,time-frequency analysis,unified representation,visual evoked potentials | Matching pursuit,Computer vision,Pattern recognition,Spectrogram,Visualization,Computer science,Chirplet transform,Gaussian,Artificial intelligence,Basis function,Time–frequency analysis,Gaussian process | Journal |
Volume | Issue | ISSN |
53 | 7 | 0018-9294 |
Citations | PageRank | References |
21 | 2.06 | 9 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Cui, J. | 1 | 21 | 2.06 |
| Willy Wong | 2 | 28 | 3.71 |