Analysis of an anti-Hebbian adaptive FIR filtering algorithm
- 1 January 1996
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing
- Vol. 43 (11) , 777-780
- https://doi.org/10.1109/82.544031
Abstract
In this paper, a recently-proposed adaptive FIR filtering algorithm basedupon an anti-Hebbian learning scheme is analyzed. Approximate evolution equationsfor the mean coefficient vector and coefficient correlation matrix are derived assumingnoise-corrupted input and desired response signals. From our analysis, it is shown thatthe proposed algorithm can achieve an unbiased estimate of the unknown system in asystem identification task if the input noise is uncorrelated with the same variance ...Keywords
This publication has 11 references indexed in Scilit:
- Convergence analysis of a data echo canceller with a stochastic gradient adaptive FIR filter using the sign algorithmIEEE Transactions on Signal Processing, 1995
- Stochastic gradient adaptation under general error criteriaIEEE Transactions on Signal Processing, 1994
- Stationary points of a single-layer perceptron for nonseparable data modelsNeural Networks, 1993
- Stationary points of the constant modulus algorithm for real Gaussian signalsIEEE Transactions on Acoustics, Speech, and Signal Processing, 1990
- On the probability density function of the LMS adaptive filter weightsIEEE Transactions on Acoustics, Speech, and Signal Processing, 1989
- On error-saturation nonlinearities in LMS adaptationIEEE Transactions on Acoustics, Speech, and Signal Processing, 1988
- Improved convergence analysis of stochastic gradient adaptive filters using the sign algorithmIEEE Transactions on Acoustics, Speech, and Signal Processing, 1987
- Convergence analysis of LMS filters with uncorrelated Gaussian dataIEEE Transactions on Acoustics, Speech, and Signal Processing, 1985
- Least squares type algorithm for adaptive implementation of Pisarenko's harmonic retrieval methodIEEE Transactions on Acoustics, Speech, and Signal Processing, 1982
- On the Independence Theory of Equalizer ConvergenceBell System Technical Journal, 1979