Downloads: 116 | Views: 128
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
Abstract: 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
Similar Articles with Keyword 'IMF'
Downloads: 105
Review Papers, Electronics & Communication Engineering, India, Volume 4 Issue 6, June 2015
Pages: 1583 - 1586A Review on Bidimensional Empirical Mode Decomposition
Sinsha P. P. | Ranjith Ram A.
Downloads: 126
Research Paper, Electronics & Communication Engineering, India, Volume 2 Issue 11, November 2013
Pages: 190 - 192Signal Denoising Using EMD and Hilbert Transform and Performance Evaluation with K-S Test
Chaitanya Kumar. N