DocumentCode
3425277
Title
Estimating rapidly varying frequencies in the presence of noise
Author
Machorro, Eric
Author_Institution
Data Anal. Group, Nat. Security Technol., LLC, Las Vegas, NV, USA
fYear
2010
fDate
24-28 Oct. 2010
Firstpage
131
Lastpage
134
Abstract
A variable window length least-squares fitting and the interpolated fast Fourier transform methods are used to estimate the rapidly changing frequency of a signal with measurement noise. The least-squares method is computationally more expensive, but provides more accurate frequency estimates.
Keywords
fast Fourier transforms; frequency estimation; interpolation; least squares approximations; noise; signal processing; interpolated fast Fourier transform method; measurement noise; rapidly varying frequency estimation; signal frequency; variable window length least-squares fitting; Algorithm design and analysis; Fast Fourier transforms; Frequency estimation; Mathematical model; Noise; Time domain analysis; frequency estimation; interpolated fast Fourier transform; least squares; phase estimation;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing (ICSP), 2010 IEEE 10th International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-5897-4
Type
conf
DOI
10.1109/ICOSP.2010.5657030
Filename
5657030
Link To Document