JOURNAL ARTICLE

A derivation of the excess mean square error for affine projection algorithms using the condition number

Abstract

This paper presents a numerical expression for the excess mean-square error(EMSE) of affine projection(AP) algorithms, and the expression is proportional to the data reuse factor and the condition number of the input data. For the condition number, a recently reported technique developed by using E-norm is adopted instead of L 2 -norm. The proposed expression offers an insight into the mechanics of the AP algorithm by including the condition number in the EMSE. Our simulation results show a relatively good match between the proposed expression and the practice.

Keywords:
Algorithm Expression (computer science) Mean squared error Norm (philosophy) Affine transformation Mathematics Projection (relational algebra) Computer science Applied mathematics Statistics Pure mathematics

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Advanced Adaptive Filtering Techniques
Physical Sciences →  Engineering →  Computational Mechanics
Digital Filter Design and Implementation
Physical Sciences →  Computer Science →  Signal Processing
Control Systems and Identification
Physical Sciences →  Engineering →  Control and Systems Engineering

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