Title :
Transforms for continuous time system modeling
Author :
Thong, Tran ; McNames, James
Author_Institution :
OGI Sch. of Sci. & Eng., Oregon Health & Sci. Univ., Beaverton, OR, USA
Abstract :
In the modeling of continuous time systems, there is a need to convert the analog system to a discrete time system. The transform frequently encountered in the literature is the impulse invariant transform. This transform has proven to be inadequate for biological system modeling. In this paper, we review the available linear transforms and derive three new transforms, namely the centered step invariant transform, the local cubic spline invariant transform, and the scaled impulse invariant transform.
Keywords :
continuous time systems; discrete time systems; filtering theory; interpolation; signal processing; splines (mathematics); transforms; analog system; biological system modeling; centered step invariant transform; continuous time system modeling; continuous time systems; discrete time system; filter design; impulse invariant transform; interpolation; linear transforms; local cubic spline invariant transform; scaled impulse invariant transform; Attenuation; Biological system modeling; Biological systems; Continuous time systems; Discrete time systems; Discrete transforms; Filters; Frequency; Polynomials; Spline;
Conference_Titel :
Circuits and Systems, 2002. MWSCAS-2002. The 2002 45th Midwest Symposium on
Print_ISBN :
0-7803-7523-8
DOI :
10.1109/MWSCAS.2002.1186884