Analysis and performance evaluation of an adaptive notch filter
- 1 March 1984
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Information Theory
- Vol. 30 (2) , 283-295
- https://doi.org/10.1109/tit.1984.1056887
Abstract
An adaptive notch filter is derived by using a general prediction error framework. The proposed infinite impulse response filler has a special structure that guarantees the desired transfer characteristics. The filter coefficients are updated by a version of the recursive maximum likelihood algorithm. The convergence properties of the algorithm and its asymptotic behavior are discussed, and its performance is evaluated by simulation results.Keywords
This publication has 10 references indexed in Scilit:
- A theoretical analysis of recursive identification methodsPublished by Elsevier ,2003
- System identification techniques for adaptive signal processingIEEE Transactions on Acoustics, Speech, and Signal Processing, 1982
- A modified prefilter for some recursive parameter estimation algorithmsIEEE Transactions on Automatic Control, 1982
- Analysis of a general recursive prediction error identification algorithmAutomatica, 1981
- The convergence of AMLIEEE Transactions on Automatic Control, 1979
- On positive real transfer functions and the convergence of some recursive schemesIEEE Transactions on Automatic Control, 1977
- Analysis of recursive stochastic algorithmsIEEE Transactions on Automatic Control, 1977
- Linear Prediction of SpeechPublished by Springer Nature ,1976
- Counterexamples to general convergence of a commonly used recursive identification methodIEEE Transactions on Automatic Control, 1975
- Uniqueness of the maximum likelihood estimates of the parameters of an ARMA modelIEEE Transactions on Automatic Control, 1974