Adaptive design of digital filters
- 24 March 2005
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 6, 243-246
- https://doi.org/10.1109/icassp.1981.1171309
Abstract
In this paper, we present a novel technique for the design of FIR and IIR digital filters. The design approach begins with the specification of a discrete set of arbitrary magnitude and phase characteristics which describe a desired filter response. These frequency domain characteristics are used to create an ideal "pseudo-filter" whose impulse response is unknown and possibly non-causal, but whose input/output characteristics can be determined for a finite sum of sinusoids. Time-domain techniques common to adaptive system identification are then used to identify a realizable FIR or IIR digital filter which best matches the pseudo-filter. The advantages of this method include the ability to specify response at arbitrarily-spaced frequencies, to use arbitrary cost weighting, and to apply (possibly non-linear) constraints to the range of the filter coefficients.Keywords
This publication has 5 references indexed in Scilit:
- Statistical design of ARMA filtersPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- A theoretical analysis of recursive identification methodsPublished by Elsevier ,2003
- Stationary and nonstationary learning characteristics of the LMS adaptive filterProceedings of the IEEE, 1976
- Time domain design of recursive digital filtersIEEE Transactions on Audio and Electroacoustics, 1970
- An approach to the approximation problem for nonrecursive digital filtersIEEE Transactions on Audio and Electroacoustics, 1970