Title :
Estimating rapidly varying frequencies in the presence of noise
Author_Institution :
Data Anal. Group, Nat. Security Technol., LLC, Las Vegas, NV, USA
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;
Conference_Titel :
Signal Processing (ICSP), 2010 IEEE 10th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-5897-4
DOI :
10.1109/ICOSP.2010.5657030
