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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Rajan, S. Kyung Sub Joo Bose, T. Mei-Qin Chen |
| Copyright Year | 1994 |
| Description | Author affiliation: Dept. of Electr. Eng., Colorado Univ., Denver, CO, USA (Rajan, S.; Kyung Sub Joo; Bose, T.; Mei-Qin Chen) |
| 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. |
| Starting Page | 1327 |
| Ending Page | 1330 |
| File Size | 314919 |
| Page Count | 4 |
| File Format | |
| ISBN | 0780324285 |
| DOI | 10.1109/MWSCAS.1994.519054 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1994-08-03 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Gradient methods Adaptive filters Nonlinear systems Character generation Finite impulse response filter Equations Filtering Mathematics Computer science Application software |
| Content Type | Text |
| Resource Type | Article |
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