Tone interference suppression in DS-SS systems with modified DFT
Signal Processing
Near optimum sampling design and an efficient algorithm for single tone frequency estimation
Digital Signal Processing
Recent advances in rapid frequency estimation
Digital Signal Processing
Estimation of the parameters of sinusoidal signals in non-Gaussian noise
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Parameter estimation of a decaying exponential in noise
DSP'09 Proceedings of the 16th international conference on Digital Signal Processing
Estimation of the frequency and decay factor of a decaying exponential in noise
IEEE Transactions on Signal Processing
An estimation-range extended autocorrelation-based frequency estimator
EURASIP Journal on Advances in Signal Processing
An improved and fast approach to parameter estimation of SFM signal using Carson's rule
WSEAS Transactions on Signal Processing
Estimation of complex single-tone parameters in the DFT domain
IEEE Transactions on Signal Processing
Generalization of iterative Fourier interpolation algorithms for single frequency estimation
Digital Signal Processing
Fast communication: Robust M-periodogram with dichotomous search
Signal Processing
Damped sinusoidal signals parameter estimation in frequency domain
Signal Processing
An improved phasor based algorithm for accurate frequency measurement
Mathematical and Computer Modelling: An International Journal
Hi-index | 35.70 |
The estimation of the frequency of a complex exponential is a problem that is relevant to a large number of fields. In this paper, we propose and analyze two new frequency estimators that interpolate on the Fourier coefficients of the received signal samples. The estimators are shown to achieve identical asymptotic performances. They are asymptotically unbiased and normally distributed with a variance that is only 1.0147 times the asymptotic Crame´r-Rao bound (ACRB) uniformly over the frequency estimation range.