Estimating rapidly varying frequencies in the presence of noise
Conference
·
OSTI ID:1055233
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
- Research Organization:
- Nevada Test Site (NTS), Mercury, NV (United States)
- Sponsoring Organization:
- USDOE National Nuclear Security Administration (NNSA)
- DOE Contract Number:
- DE-AC52-06NA25946
- OSTI ID:
- 1055233
- Report Number(s):
- DOE/NV/25946-1010
- Resource Relation:
- Conference: 2010 IEEE 10th International Conference on Signal Processing
- Country of Publication:
- United States
- Language:
- English
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