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adaptive-filtering

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Various melodic noise filtering techniques viz. Adaptive Noise Cancellation, Spectral Methods and Deep Learning algorithms have been employed to filter music signals corrupted with additive Gaussian white noise. The noise reduction problem has been formulated as a filtering problem which is efficiently solved by using the LMS, NLMS and RLS metho…

  • Updated Apr 1, 2022
  • Jupyter Notebook

An adaptive comb filtering algorithm for the enhancement of harmonic signals in the presence of additive white noise. The algorithm improves the signal-to-noise ratio by estimating the fundamental frequency and enhancing the harmonic component in the input. It is implemented in Python and can be used for audio processing applications.

  • Updated Jan 10, 2023
  • Python

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