The design of low sensitivity digital filters using multi-criterion optimization strategies
- 1 January 1992
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 4 (15206149) , 317-320 vol.4
- https://doi.org/10.1109/icassp.1992.226372
Abstract
Multicriterion optimization methods for determining low-sensitivity digital filters for a given structure are considered. Pareto optimal as well as min/max methods are considered. It is shown that the methods yield low sensitivity designs via the presented computer algorithms. Filter scaling can be directly incorporated in the designs.Keywords
This publication has 13 references indexed in Scilit:
- Efficient generation of ARMA cross convariance sequencesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- Sensitivity of structures for the identification of linear systems from impulse response dataPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- An informational approach to the convergence of output error adaptive IIR filter structuresPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- The effect of identifier structure on parameter convergenceIEEE Transactions on Signal Processing, 1992
- On the Mathematical Foundations of Nondifferentiable Optimization in Engineering DesignSIAM Review, 1987
- A new approach to the realization of low-sensitivity IIR digital filtersIEEE Transactions on Acoustics, Speech, and Signal Processing, 1986
- Minimum roundoff noise digital filters with some power-of-two coefficientsIEEE Transactions on Circuits and Systems, 1984
- Optimal synthesis of second-order state-space structures for digital filtersIEEE Transactions on Circuits and Systems, 1979
- Minimum uncorrelated unit noise in state-space digital filteringIEEE Transactions on Acoustics, Speech, and Signal Processing, 1977
- Synthesis of minimum roundoff noise fixed point digital filtersIEEE Transactions on Circuits and Systems, 1976