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.
|Number of pages||4|
|Journal||Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing|
|State||Published - 1989|
|Event||1989 International Conference on Acoustics, Speech, and Signal Processing - Glasgow, Scotland|
Duration: 23 May 1989 → 26 May 1989