Weighted Minimization of Roundoff Noise and Pole Sensitivity Subject to l2-Scaling Constraints for State-Space Digital Filters
Author:
Affiliation:
1. Department of Electrical and Computer Engineering, NIT Kagawa Colledge
2. Faculty of Applied Information Science, Hiroshima Institute of Technology
Publisher
Institute of Electronics, Information and Communications Engineers (IEICE)
Subject
Applied Mathematics,Electrical and Electronic Engineering,Computer Graphics and Computer-Aided Design,Signal Processing
Link
https://www.jstage.jst.go.jp/article/transfun/E102.A/11/E102.A_1473/_pdf
Reference28 articles.
1. [1] S.Y. Hwang, “Roundoff noise in state-space digital filtering: A general analysis,” IEEE Trans. Acoust., Speech, Signal Process., vol.24, no.3, pp.256-262, June 1976. 10.1109/tassp.1976.1162802
2. [2] C.T. Mullis and R.A. Roberts, “Synthesis of minimum roundoff noise fixed point digital filters,” IEEE Trans. Circuits Syst., vol.23, no.9, pp.551-562, Sept. 1976. 10.1109/tcs.1976.1084254
3. [3] S.Y. Hwang, “Minimum uncorrelated unit noise in state-space digital filtering,” IEEE Trans. Acoust., Speech, Signal Process., vol.25, no.4, pp.273-281, Aug. 1977. 10.1109/tassp.1977.1162971
4. [4] L.B. Jackson, A.G. Lindgren, and Y. Kim, “Optimal synthesis of second-order state-space structures for digital filters,” IEEE Trans. Circuits Syst., vol.26, no.3, pp.149-153, March 1979. 10.1109/tcs.1979.1084623
5. [5] W.E. Higgins and D.C. Munson, “Noise reduction strategies for digital filters: Error spectrum shaping versus the optimal linear state-space formulation,” IEEE Trans. Acoust. Speech, Signal Process., vol.30, no.6, pp.963-973, Dec. 1982. 10.1109/tassp.1982.1163989
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