DocumentCode
992633
Title
Frequency estimation via weighted multipoint interpolated DFT
Author
Belega, D. ; Dallet, D.
Author_Institution
Politeh. Univ. of Timisoara, Timisoara
Volume
2
Issue
1
fYear
2008
Firstpage
1
Lastpage
8
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 ges 2) is used for (2J + 1)-point interpolation (1 les J les 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
discrete Fourier transforms; frequency estimation; quantisation (signal); H-term maximum sidelobe decay window; discrete Fourier transform; frequency estimation; maximum sidelobe decay windows; multifrequency signal component; quantisation noise; weighted multipoint interpolated DFT;
fLanguage
English
Journal_Title
Science, Measurement & Technology, IET
Publisher
iet
ISSN
1751-8822
Type
jour
DOI
10.1049/iet-smt:20070022
Filename
4391018
Link To Document