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
fDate :
31 Oct-2 Nov 1994
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;
Conference_Titel :
Signals, Systems and Computers, 1994. 1994 Conference Record of the Twenty-Eighth Asilomar Conference on
Conference_Location :
Pacific Grove, CA
Print_ISBN :
0-8186-6405-3
DOI :
10.1109/ACSSC.1994.471575
