DocumentCode
3103544
Title
A method for upgrading the estimates of the model parameters of a signal when given a truncated measurement
Author
Huang, Xiao-Jing ; Chen, Hong-Bin ; Wu, Zhao-xiong
Author_Institution
Jiao-tong Univ., Shanghai, China
fYear
1988
fDate
3-5 Aug 1988
Firstpage
383
Lastpage
386
Abstract
The estimates of the autocorrelation function (ACF) for all lag values of a signal based on truncated measurement are random numbers determined by the particular measured data set of the signal sample. The authors show that model parameters of the signal can be effectively upgraded by a sophisticated modification of the formulas for estimating the entries of the ACF matrix. The upgrading principle is described, and examples are presented
Keywords
correlation methods; matrix algebra; parameter estimation; spectral analysis; autocorrelation function; estimates; lag values; matrix; model parameters; signal; truncated measurement; upgrading principle; Autocorrelation; Degradation; Density functional theory; Equations; Length measurement; Parameter estimation; Particle measurements;
fLanguage
English
Publisher
ieee
Conference_Titel
Spectrum Estimation and Modeling, 1988., Fourth Annual ASSP Workshop on
Conference_Location
Minneapolis, MN
Type
conf
DOI
10.1109/SPECT.1988.206226
Filename
206226
Link To Document