Recursive lattice forms for spectral estimation and adaptive control
Recursive algorithms have been recently developed for modeling time series by pole-zero lattice forms. This development makes it feasible to use lattice forms, which have exhibited excellent numerical behavior, for various applications the areas of adaptive signal processing and adaptive control. A...
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| Vydáno v: | 1980 19th IEEE Conference on Decision and Control including the Symposium on Adaptive Processes s. 466 - 471 |
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| Hlavní autor: | |
| Médium: | Konferenční příspěvek |
| Jazyk: | angličtina |
| Vydáno: |
IEEE
01.12.1980
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| Témata: | |
| On-line přístup: | Získat plný text |
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| Shrnutí: | Recursive algorithms have been recently developed for modeling time series by pole-zero lattice forms. This development makes it feasible to use lattice forms, which have exhibited excellent numerical behavior, for various applications the areas of adaptive signal processing and adaptive control. A general framework is presented for embedding a large class of signal processing and control problems in a multichannel auto-regressive whitening filter. This framework makes it possible to develop lattice forms for various applications including self-tuning regulators, the adaptive line enhancer, a generalized adaptive noise canceller and spectral estimation. The square-root normalized lattice form and its properties are briefly described. Some of the features of these algorithms are: fast tracking of time varying parameters, simultaneous estimation of models of different orders, computational efficiency and robust numerical behavior. |
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| DOI: | 10.1109/CDC.1980.271839 |