Using Linear Prediction to Enhance the Tracking of Partials

نویسندگان

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

In this article, we present an enhanced algorithm, of low complexity, for the tracking of partials in the context of sinusoidal modeling. By considering the past evolution of each partial in the time/frequency and time/amplitude planes to predict its future evolutions, this algorithm allows a better discrimination between sinusoidal and noisy components and an easier cancellation of sudden changes in the evolutions of the partials.

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تاریخ انتشار 2004