Improving Sinusoidal Frequency Estimation Using a Trigonometric Approach

نویسندگان

  • Mathieu Lagrange
  • Sylvain Marchand
  • Jean-Bernard Rault
چکیده

Estimating the frequency of sinusoidal components is the first part of the sinusoidal analysis chain. Among numerous frequency estimators presented in the literature, we propose to study an estimator proposed in [1] known as the derivative algorithm. Thanks to a trigonometric interpretation of this frequency estimator, we are able to propose a new estimator which improves estimation performance for the frequencies close to the Nyquist frequency without any computational overload.

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تاریخ انتشار 2005