Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6959040 | Signal Processing | 2015 | 19 Pages |
Abstract
MLS-based identification of nonlinear systems is largely affected by deviations in the excitation signal amenable to the combined effect of DC-offset and an arbitrary gain. These induce orthogonality loss in the MLS filter bank output, thus invalidating the underlying identification construction. In this paper we present a correction algorithm to derive the corrected Volterra kernels from the biased estimations provided by the standard MLS-based procedure.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Signal Processing
Authors
Virginia Yagüe-Jiménez, José Luis Blanco-Murillo, Francisco Javier Casajús-Quirós,