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Abstract: This paper studies approximations for a class of nonlinear filters known as Volterra filters. Although the Volterra filter provides a relatively simple and general representation for nonlinear filtering, often it is highly over-parameterized. Due to the large number of parameters, the utility of the Volterra filter is limited. The over-parameterization problem is addressed in this paper using a tensor product basis approximation (TPBA). In many cases a Volterra filter may be well approximated... (Update)
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BibTeX entry: (Update)
@misc{ student-tensor,
author = "Robert Nowak Student",
title = "Tensor Product Basis Approximations for Volterra Filters",
url = "citeseer.ist.psu.edu/nowak96tensor.html" }
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4 Volterra filter approximatations (context) - Nowak, Van Veen
4 Volterra filter approximatations (context) - Nowak, Van Veen - 1995
4 Quadratic-linear filters for signal detection (context) - Taft - 1991
3 Structure identification of block-oriented models based on t.. (context) - Haber - 1989
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