Abstract
The authors use methods of stochastic approximation to convert iterative algorithms for maximizing the Kullback-Liebler information measure into sequential algorithms. Special attention is given to the case of incomplete data, and a variety of algorithms are presented to deal with situations of that kind. The authors consider the application of these algorithms to the identification of finite-impulse-response (FIR) systems.
Original language | English |
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Pages (from-to) | 2085-2088 |
Number of pages | 4 |
Journal | Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing |
Volume | 4 |
State | Published - 1989 |
Event | 1989 International Conference on Acoustics, Speech, and Signal Processing - Glasgow, Scotland Duration: 23 May 1989 → 26 May 1989 |