Concurrent estimation of signal parameters using extended rational function model

Author

Chakrabarti, S. ; Kadado, T. ; Ravichander, R.

Author_Institution

Kanvas Univ., Lawrence, KS, USA

fYear

1990

fDate

12-14 Aug 1990

Firstpage

535

Abstract

A frequency domain based parallel processing scheme for fast estimation of signal parameters from noisy signals is presented. In this scheme, the entire DFT (discrete Fourier transform) based spectrum is divided into several segments. The samples of the transfer function within different segments are modeled independently as rational function models so that they can be processed concurrently in a multiprocessing environment. In this investigation, this new signal parameter estimation scheme was implemented on an Intel iPSC/2 hypercube. Results of this new method are compared with a conventional frequency domain estimation method

Keywords

computerised signal processing; fast Fourier transforms; hypercube networks; parallel processing; DFT; Intel iPSC/2 hypercube; estimation; extended rational function model; frequency domain based parallel processing scheme; frequency domain estimation method; multiprocessing environment; signal parameters; Discrete Fourier transforms; Equations; Frequency domain analysis; Frequency estimation; Hypercubes; Parameter estimation; Poles and zeros; Polynomials; Signal processing; Transfer functions;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1990., Proceedings of the 33rd Midwest Symposium on

Conference_Location

Calgary, Alta.

Print_ISBN

0-7803-0081-5

Type

conf

DOI

10.1109/MWSCAS.1990.140774

Filename

140774