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Proceedings Paper

State-dependent nonlinear adaptive lattice filters
Author(s): Hassan M. Ahmed; Muzaffar U. Khurram
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Paper Abstract

We introduce a new tool called state dependent embedding for developing nonlinear adaptive filters. We use the embedding to develop a new quadratic lattice whitener with only scalar coefficients. The whitener is shown to be a linear lattice with a modified update equation. We demonstrate that scalar state dependent coefficients can be directly updated in this application, thus providing a very efficient nonlinear lattice structure. We describe lattice joint process estimator structures. For Gaussian inputs, we note that only some kernels of the series expansion describing the nonlinearity contribute to input eigenvalue spread. We suggest a reduced complexity escalator structure that exploits this finding. Finally we provide a simplification to the layered structure presented.

Paper Details

Date Published: 1 November 1993
PDF: 12 pages
Proc. SPIE 2027, Advanced Signal Processing Algorithms, Architectures, and Implementations IV, (1 November 1993); doi: 10.1117/12.160446
Show Author Affiliations
Hassan M. Ahmed, Boston Univ. (United States)
Muzaffar U. Khurram, Boston Univ. (United States)


Published in SPIE Proceedings Vol. 2027:
Advanced Signal Processing Algorithms, Architectures, and Implementations IV
Franklin T. Luk, Editor(s)

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