Journal Paper

Paper Title - Performance Of Empirical Mode Decomposition And Wavelet Transform In Denoising Of Audio Signal


Abstract
Audio signal denoising is one of the major technique in multimedia applications. It has long been a topic of research, yet there is a need for improvement always. There are so many ways to enhance the signal quality or to reconstruct the signal. In this paper two methods namely Empirical Mode Decomposition (EMD) and Discrete Wavelet Transform (DWT) are used for reconstruction/denoising of audio signals which are corrupted by additive white Gaussian noise. In DWT Thresholding is applied to wavelet coefficients of noise corrupted signal, to restore the smoothness of original signal. EMD decomposes the noisy signal into amplitude and frequency modulated signals called Intrinsic mode functions(IMF’s) . Hard Thresholding of IMF’s are performed to remove the noise. Performance of both the methods are measured by signal to noise ratio(SNR) and mean squared error(MSE). Keywords— Signal denoising, Empirical mode decomposition, Wavelets, Thresholding, Noise reduction.


Author - Shubhratha S, D K Kumuda

Citation - Shubhratha S   ,   D K Kumuda   ,   Shubhratha S, D K Kumuda " Performance Of Empirical Mode Decomposition And Wavelet Transform In Denoising Of Audio Signal " , International Journal of Industrial Electronics and Electrical Engineering , Volume-4,Issue-6  ( Jun, 2016 )

Indexed - Google Scholar


| PDF |
Viewed - 1
| Published on 2016-07-21