Frequency estimation via weighted multipoint interpolated DFT
- 1 January 2008
- journal article
- Published by Institution of Engineering and Technology (IET) in IET Science, Measurement & Technology
- Vol. 2 (1), 1-8
- https://doi.org/10.1049/iet-smt:20070022
Abstract
A Weighted multipoint interpolated discrete fourier transform (WMIpDFT) method for high accuracy frequency estimation of a multi-frequency signal component is presented. This method uses the maximum sidelobe decay windows. The relationships to estimate the frequency when an H-term maximum sidelobe decay window (H≥2) is used for (2J+1)-point interpolation (1≤J≤H+1) are given. The effectiveness of the method proposed was analysed by means of computer simulations for a multi-frequency signal without noise as well as with quantisation noise.Keywords
This publication has 8 references indexed in Scilit:
- Estimation of the Multifrequency Signal Parameters by Interpolated DFT Method with Maximum Sidelobe DecayPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2007
- Weighted multipoint interpolated DFT to improve amplitude estimation of multifrequency signalIEEE Transactions on Instrumentation and Measurement, 2002
- Frequency-domain testing of waveform digitizersIEEE Transactions on Instrumentation and Measurement, 2002
- Interpolation techniques for real-time multifrequency waveform analysisIEEE Transactions on Instrumentation and Measurement, 1990
- Windows and interpolation algorithms to improve electrical measurement accuracyIEEE Transactions on Instrumentation and Measurement, 1989
- Interpolation Algorithms for Discrete Fourier Transforms of Weighted SignalsIEEE Transactions on Instrumentation and Measurement, 1983
- Some windows with very good sidelobe behaviorIEEE Transactions on Acoustics, Speech, and Signal Processing, 1981
- High-Accuracy Analog Measurements via Interpolated FFTIEEE Transactions on Instrumentation and Measurement, 1979