Pole-zero estimation of continuous and discrete time systems

Author

Corinthios, Michael J.

Author_Institution

Ecole Polytech. de Montreal, Que., Canada

Volume

2

fYear

2000

fDate

2000

Firstpage

866

Abstract

An approach to pole-zero estimation for mathematical modeling of a system given a finite duration of its response is presented. The basic tool is in the form of weighted Laplace and z transform spectra which are shown to reveal pole peaks normally absent due to exponential rise in spectra on the complex plane. The approach is an extension of a parallel algorithm recently proposed and effectively performs an extrapolation yielding the infinite impulse response of systems given their finite impulse response. Applications of the approach include mathematical model reduction, system identification, adaptive filtering and adaptive equalization among others

Keywords

Laplace transforms; Z transforms; adaptive equalisers; adaptive filters; continuous time systems; discrete time systems; extrapolation; identification; poles and zeros; reduced order systems; adaptive equalization; adaptive filtering; continuous time systems; discrete time systems; extrapolation; finite impulse response; infinite impulse response; mathematical model reduction; mathematical modeling; parallel algorithm; pole-zero estimation; system identification; system response; weighted Laplace transform spectra; weighted z transform spectra; Adaptive filters; Discrete time systems; Discrete transforms; Extrapolation; IIR filters; Linear systems; Mathematical model; Parallel algorithms; Poles and zeros; System identification;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronics, Circuits and Systems, 2000. ICECS 2000. The 7th IEEE International Conference on

Conference_Location

Jounieh

Print_ISBN

0-7803-6542-9

Type

conf

DOI

10.1109/ICECS.2000.913013

Filename

913013