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Proceedings Paper

Adaptive deconvolution based on spectral decomposition
Author(s): Anders Ahlen; Mikael Sternad
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Paper Abstract

An adaptive algorithm for estimating the input to a linear system is presented. This explicit self-tuning filter is based on the identification of an innovations model. From that model, input and measurement noise ARMA-descriptions are decomposed, using second order moments. Identifiability results guarantee a unique decomposition. Main tools in the algorithm are the solution of two linear systems of equations. The filter design is based on the polynomial approach to Wiener filtering.

Paper Details

Date Published: 1 December 1991
PDF: 13 pages
Proc. SPIE 1565, Adaptive Signal Processing, (1 December 1991); doi: 10.1117/12.49771
Show Author Affiliations
Anders Ahlen, Uppsala Univ. (Sweden)
Mikael Sternad, Uppsala Univ. (Sweden)


Published in SPIE Proceedings Vol. 1565:
Adaptive Signal Processing
Simon Haykin, Editor(s)

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