Tracking Analysis of Adaptive Filters with Error and Matrix Data Nonlinearities

Wemer M. WEE; Isao YAMADA

doi:10.1587/transfun.E97.A.1659

Regular Section

Tracking Analysis of Adaptive Filters with Error and Matrix Data Nonlinearities

Author information

Keywords: adaptive filter, energy-conservation, error nonlinearity, data normalization, matrix data nonlinearity, tracking analysis, transient analysis, steady-state analysis

JOURNAL RESTRICTED ACCESS

2014 Volume E97.A Issue 8 Pages 1659-1673

DOI https://doi.org/10.1587/transfun.E97.A.1659

Details

Abstract

We consider a unified approach to the tracking analysis of adaptive filters with error and matrix data nonlinearities. Using energy-conservation arguments, we not only derive earlier results in a unified manner, but we also obtain new performance results for more general adaptive algorithms without requiring the restriction of the regression data to a particular distribution. Numerical simulations support the theoretical results.

Corresponding author

Register with J-STAGE for free!