Metrological analysis of the LIDFT method

The estimation error components in the DFT linear interpolation (LIDFT) method have been presented in the paper. The equations for random errors, total error, the minimum and optimal parameter value of data window for the case of one complex oscillation, and also the metrological analysis of the mul...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on instrumentation and measurement 2002-02, Vol.51 (1), p.67-71
Main Authors: Borkowski, J., Mroczka, J.
Format: Article
Language:English
Subjects:
Error analysis
Estimation error
Frequency domain analysis
Frequency estimation
Frequency measurement
Instrumentation
Interpolation
Mathematical analysis
Metrology
Nonlinear equations
Optimization
Oscillations
Parameter estimation
Random errors
Signal analysis
Spectral analysis
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The estimation error components in the DFT linear interpolation (LIDFT) method have been presented in the paper. The equations for random errors, total error, the minimum and optimal parameter value of data window for the case of one complex oscillation, and also the metrological analysis of the multifrequency signal case are presented. This analysis allows us to estimate final method accuracy and obtain the relation for the optimal data window parameter.
ISSN:0018-9456
1557-9662
DOI:10.1109/19.989903