@InProceedings{7362789,
  author = {S. Ye and D. L. Kocherry and E. Aboutanios},
  booktitle = {2015 23rd European Signal Processing Conference (EUSIPCO)},
  title = {A novel algorithm for the estimation of the parameters of a real sinusoid in noise},
  year = {2015},
  pages = {2271-2275},
  abstract = {In this paper, we put forward a computationally efficient algorithm to estimate the frequency and complex amplitude of a real sinusoidal signal in additive Gaussian noise. The novel method extends an iterative frequency estimator for single complex exponentials that is based on interpolation on Fourier coefficients to the real case by incorporating an iterative leakage subtraction strategy. Simulation results are presented to verify that the proposed algorithm can obtain more accurate estimation than both time and frequency domain parameter estimators in the literature, and the estimation variance of the method sits on the Cramer-Rao lower bound with only a few iterations required.},
  keywords = {frequency estimation;Gaussian noise;iterative methods;signal sampling;computationally efficient algorithm;real sinusoidal signal;additive Gaussian noise;iterative frequency estimator;single complex exponentials;Fourier coefficients;iterative leakage subtraction strategy;time domain parameter estimators;frequency domain parameter estimators;estimation variance;Cramer-Rao lower bound;Estimation;Signal processing algorithms;Frequency estimation;Signal to noise ratio;Europe;Iterative methods;Frequency estimation;interpolation algorithm;Fourier coefficients;real sinusoid},
  doi = {10.1109/EUSIPCO.2015.7362789},
  issn = {2076-1465},
  month = {Aug},
  url = {https://www.eurasip.org/proceedings/eusipco/eusipco2015/papers/1570095593.pdf},
}

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Ye and D. L. Kocherry and E. Aboutanios},\n booktitle = {2015 23rd European Signal Processing Conference (EUSIPCO)},\n title = {A novel algorithm for the estimation of the parameters of a real sinusoid in noise},\n year = {2015},\n pages = {2271-2275},\n abstract = {In this paper, we put forward a computationally efficient algorithm to estimate the frequency and complex amplitude of a real sinusoidal signal in additive Gaussian noise. The novel method extends an iterative frequency estimator for single complex exponentials that is based on interpolation on Fourier coefficients to the real case by incorporating an iterative leakage subtraction strategy. 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