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  • A Computationally Efficient Fine Frequency Estimation Method for . . .
    To this aim, an efficient frequency estimation method for single tone complex sinusoids is adapted to the harmonic frequency estimation problem The main idea of suggested Fast Fourier Transform (FFT) based method is the frequency estimation of individual complex sinusoids after the removal of the interference over the tone by other harmonics
  • Multiple Fundamental Frequency Estimation by Summing Harmonic Amplitudes
    duced the frequency histogram and Noll the harmonic sum spectrum (see [11, p 414]) De Cheveign´e [2] discusses har-monic selection methods and, more recently, Walmsley [12] uses the name harmonic transform for a similar technique The question of an optimal mapping of the Fourier spec-trum to a “F0 salience spectrum” is closely related to
  • Accurate frequency estimation of multiple complex and real sinusoids . . .
    The nonparametric methods, such as Capon [10], APES [11], IAA [12] and their improved versions [13], [14], [15], estimate the signal spectrum directly without any assumptions about the input signal, which means that they can be used to process any kind of signal Those methods have high frequency resolution by performing peak picking on a dense
  • C++ and MATLAB code for fast and accurate fundamental frequency estimation
    Multiple estimation methods have been proposed in the scientific literature ranging from simple correlation-based methods (such as PRAAT, RAPT, YIN, and Kaldi) to parametric methods (such as subspace methods, filtering methods, harmonic summation, and NLS)
  • An Efficient Frequency Estimator for a Complex Exponential Signal Based . . .
    The frequency estimation of complex exponential carrier signals in noise is a critical problem in signal processing To solve this problem, a new iterative frequency estimator is presented in this paper By iteratively computing the interpolation of DTFT samples, the proposed algorithm obtains a fine frequency estimate
  • A Computationally Efficient Fine Frequency Estimation Method for . . .
    Request PDF | On Oct 5, 2020, Utku Celebi and others published A Computationally Efficient Fine Frequency Estimation Method for Harmonic Signals | Find, read and cite all the research you need on
  • A Computationally Efficient Fine Frequency Estimation Method for . . .
    To this aim, an efficient frequency estimation method for single tone complex sinusoids is adapted to the harmonic frequency estimation problem The main idea of suggested Fast Fourier Transform (FFT) based method is the frequency estimation of individual complex sinusoids after the removal of the interference over the tone by other harmonics
  • Accurate and computationally efficient interpolation-based method for . . .
    The proposed frequency estimation method attains the Cramér-Rao lower bound and it outperforms parametric methods in terms of the estimation accuracy and numerical efficiency Compared with information criterion-based methods, the proposed MOE approach is numerically more efficient, it does not require estimation of noise variance and hence


















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