Application of Empirical Mode Decomposition in Denoising a Speech Signal
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
www.ijsr.net | Open Access | Fully Refereed | Peer Reviewed International Journal

ISSN: 2319-7064


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Research Paper | Electronics & Communication Engineering | India | Volume 3 Issue 11, November 2014

Application of Empirical Mode Decomposition in Denoising a Speech Signal

Sonam Maheshwari, Dimpy

This paper attempts to review and summarize the use of Empirical mode decomposition (EMD) for denoising a speech signal. EMD, introduced by Huang et al in 1998 gives time-frequency representation of non-linear and non-stationary signals. It decomposes a signal into a sum of finite zero-mean, oscillating components called as intrinsic mode functions based on the local time characteristics of the signal. Main essence of the method is its adaptive and data driven nature.

Keywords: Emirical mode decomposition, IMF, Wavelet transform, Hard and soft thresholding, Denoising

Edition: Volume 3 Issue 11, November 2014

Pages: 202 - 204

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How to Cite this Article?

Sonam Maheshwari, Dimpy, "Application of Empirical Mode Decomposition in Denoising a Speech Signal", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=OCT14457, Volume 3 Issue 11, November 2014, 202 - 204

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