Koeppl, H. and Schwingshackl, D. (2004):
Comparison of discrete-time approximations for continuous-time nonlinear systems.
In: 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing, IEEE, pp. ii-881, 2, [Online-Edition: http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumbe...],
[Article]
Abstract
This work addresses the problem of approximating the sampled input-output (i/o) behavior of continuous-time nonlinear systems using discrete-time Volterra models. For an exactly band-limited nonlinear system for which a Volterra representation exists, the discrete-time Volterra model exactly corresponds to the sampled continuous-time Volterra kernels. Physical systems, as they are causal, are never exactly band-limited. Thus, a modeling error is introduced. By relaxing the causality condition and allowing a small processing delay, it is shown through simulation that more accurate discrete-time Volterra models, compared to sampled continuous-time Volterra models, can be generated.
| Item Type: | Article |
|---|---|
| Erschienen: | 2004 |
| Creators: | Koeppl, H. and Schwingshackl, D. |
| Title: | Comparison of discrete-time approximations for continuous-time nonlinear systems |
| Language: | English |
| Abstract: | This work addresses the problem of approximating the sampled input-output (i/o) behavior of continuous-time nonlinear systems using discrete-time Volterra models. For an exactly band-limited nonlinear system for which a Volterra representation exists, the discrete-time Volterra model exactly corresponds to the sampled continuous-time Volterra kernels. Physical systems, as they are causal, are never exactly band-limited. Thus, a modeling error is introduced. By relaxing the causality condition and allowing a small processing delay, it is shown through simulation that more accurate discrete-time Volterra models, compared to sampled continuous-time Volterra models, can be generated. |
| Journal or Publication Title: | 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing |
| Volume: | 2 |
| Publisher: | IEEE |
| Divisions: | 18 Department of Electrical Engineering and Information Technology > Institute for Telecommunications > Bioinspired Communication Systems 18 Department of Electrical Engineering and Information Technology 18 Department of Electrical Engineering and Information Technology > Institute for Telecommunications |
| Date Deposited: | 04 Apr 2014 12:33 |
| Official URL: | http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumbe... |
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