An Adaptive Fir Filtering Based on Balanced Realization

Abstract:

Balanced realization is an attractive candidate to design state-space adaptive filter structure due to its least parameter sensitivity. In this paper, based on the balanced realization, an adaptive finite impulse response (FIR) filtering algorithm is proposed to minimize the output-error using the coefficients of the transfer function as the adaptive filter parameters. This algorithm is an internally balanced realization form and guarantees that the designed adaptive FIR filtering always minimizes the ratio of maximum-to-minimum eigenvalues of the Grammian matrices.

• Periodical: Advanced Materials Research (Volumes 753-755)
• Pages: 2566-2572
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.753-755.2566
• Online since: August 2013
• Authors: Zheng Hong Deng*, Jian Guo Dang, Ting Ting Li
• Keywords: Adaptive FIR Filtering, Balanced Realization, State-Space Transformation

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