Abstract
The application of the Conjugate Gradient (CG) method for the identification of a new class of non-linear discrete time systems, called 'Generalized Bilinear System' is investigated. An algorithm based on the CG method is developed for adaptive generalized bilinear filtering with output error method. This algorithm outperforms the LMS and RLS methods in terms of speed of convergence. In this algorithm, the optimization is done over blocks of input and output data rather than a single pair of data. However, only one iteration and coefficient update is done for every sample of data. Some examples are given to illustrate the efficiency of the algorithm.
| Original language | English (US) |
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| Pages | 1327-1330 |
| Number of pages | 4 |
| State | Published - 1994 |
| Event | Proceedings of the 37th Midwest Symposium on Circuits and Systems. Part 2 (of 2) - Lafayette, LA, USA Duration: Aug 3 1994 → Aug 5 1994 |
Other
| Other | Proceedings of the 37th Midwest Symposium on Circuits and Systems. Part 2 (of 2) |
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| City | Lafayette, LA, USA |
| Period | 8/3/94 → 8/5/94 |
ASJC Scopus subject areas
- Electronic, Optical and Magnetic Materials
- Electrical and Electronic Engineering