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Compared to traditional methods such as the comb filtering method [23] and maximum likelihood methods [12, 16], the optimal filtering methods suffer from a high complexity, requiring that operations of cubic complexity be performed for each candidate fundamental frequency and order.
As expected, the proposed method generally also exhibits better performance than the comb filtering approach.
(b, c) The patterns after spectral comb filtering for each of the sources.
Additionally, we also compare to the performance of the comb filtering method described in Sect.
The required noise reduction is based on adaptive comb filtering designed for accurate formant extraction.
The pickups introduce several effects on the resulting sound [26], including linear filtering, nonlinearities [27], and comb filtering [8, 28].
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The comb filters used here are a slight variation of Scheirer's filters.
The optimal CSP weights will be equivalent to the gain of the comb filters to selectively use those harmonic bins.
The comb filters introduced in the previous section are used to extract the necessary features for ballroom-dance style recognition, meter recognition, and tempo detection.
This study presents denoising of phases signal by comb filter.
However, even if a comb filter performs well, the delay time of a digital comb filter will be limited by the sampling rate.
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