Name
Abstract | ||
|---|---|---|
Both direct and indirect methods exist for continuous-time system identification. A direct method estimates continuous-time input and output signals from their samples and then use them to obtain a continuous-time model, whereas an indirect method estimates a discrete-time model first. Both methods rely on fast sampling to ensure good accuracy. In this paper, we propose a more direct method where a continuous-time model is directly fitted to the available samples. This method produces an exact model asymptotically, modulo some aliasing ambiguity, even when the sampling rate is relatively low. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/ICASSP.2007.366790 | Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference |
Keywords | Field | DocType |
continuous time systems,signal sampling,continuous-time input estimation,continuous-time system identification,discrete-time model,sampling rate,System identification,continuous-time system identification,parameter estimation | Computer science,Sampling (signal processing),Input/output,Artificial intelligence,Estimation theory,System identification,Direct method,Pattern recognition,Modulo,Algorithm,Aliasing,Sampling (statistics),Statistics | Conference |
Volume | ISSN | ISBN |
3 | 1520-6149 E-ISBN : 1-4244-0728-1 | 1-4244-0728-1 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Damián Marelli | 1 | 164 | 19.58 |
| Minyue Fu | 2 | 1878 | 221.17 |