Abstract
This paper is concerned with a new system identification approach based on the wavelet packets (WP) decomposition. The impulse response in the WP transform domain is estimated via the least squares method using transformed input/output data. Then the estimate of the original impulse response can be reconstructed from that in the transform domain by using the inverse WP transform. The MSE of the estimate is investigated, and it is clarified that the MSE can be minimized by an optimal choice of the threshold level, the resolution level and the packets selection. Therefore, the data adaptive choice is effective in ill-conditioned system identification using a band-limited input signal.
| Original language | English |
|---|---|
| Pages (from-to) | 211-214 |
| Number of pages | 4 |
| Journal | Proceedings of the IEEE Conference on Decision and Control |
| Volume | 1 |
| Publication status | Published - 1998 |
| Event | Proceedings of the 1998 37th IEEE Conference on Decision and Control (CDC) - Tampa, FL, USA Duration: 1998 Dec 16 → 1998 Dec 18 |
ASJC Scopus subject areas
- Control and Systems Engineering
- Modelling and Simulation
- Control and Optimization