Realization of variable band-pass/band-stop IIR digital filters using Gramian-preserving frequency transformation
暂无分享,去创建一个
[1] D. Zwillinger,et al. Standard Mathematical Tables and Formulae , 1997, The Mathematical Gazette.
[2] Masayuki Kawamata,et al. Design of Variable Digital Filters Based on State-Space Realizations , 2001 .
[3] 阿部 正英,et al. Gramian-preserving frequency transformation for linear state-space systems , 2006 .
[4] Shunsuke Koshita,et al. Gramian-preserving frequency transformation for linear discrete-time systems using normalized lattice structure , 2008, 2008 IEEE International Symposium on Circuits and Systems.
[5] Anthony G. Constantinides,et al. Spectral Transformations for Digital Filters , 1970 .
[6] M. Kawamata,et al. On the absence of limit cycles in a class of state-space digital filters which contains minimum noise realizations , 1984 .
[7] B. Moore. Principal component analysis in linear systems: Controllability, observability, and model reduction , 1981 .
[8] Masayuki Kawamata,et al. A unified approach to the optimal synthesis of fixed-point state-space digital filters , 1985, IEEE Trans. Acoust. Speech Signal Process..
[9] S. Hwang. Minimum uncorrelated unit noise in state-space digital filtering , 1977 .
[10] Clifford T. Mullis,et al. Synthesis of minimum roundoff noise fixed point digital filters , 1976 .