DocumentCode
1885482
Title
Resonant mode extraction from scattered noisy data
Author
Pillai, S. Unnikrishna ; Oh, Hyun Seok
Author_Institution
Dept. of Electr. Eng., Polytechnic Univ., Brooklyn, NY, USA
Volume
2
fYear
1994
fDate
31 Oct-2 Nov 1994
Firstpage
816
Abstract
This paper presents a technique that combines Prony´s original approach together with the high resolution eigenstructure based methods to estimate resonant modes from scattered noisy data. The problem is equivalent to obtaining best rational approximations that fit the actual measurements in a least square sense
Keywords
autoregressive moving average processes; eigenstructure assignment; least squares approximations; noise; parameter estimation; signal processing; ARMA models; Prony´s original approach; best rational approximations; estimation; high resolution eigenstructure based methods; least square methods; resonant mode extraction; scattered noisy data; Area measurement; Contracts; Data mining; Least squares methods; Noise measurement; Poles and zeros; Resonance; Scattering; Transfer functions; White noise;
fLanguage
English
Publisher
ieee
Conference_Titel
Signals, Systems and Computers, 1994. 1994 Conference Record of the Twenty-Eighth Asilomar Conference on
Conference_Location
Pacific Grove, CA
ISSN
1058-6393
Print_ISBN
0-8186-6405-3
Type
conf
DOI
10.1109/ACSSC.1994.471575
Filename
471575
Link To Document