Student

Empirical Wavelet Transform is a new adaptive signal decomposition technique. In signal processing, adaptive representation of signal is very important. This is very useful for denoising, decompression etc. This paper presents an adaptive denoising technique using Empirical wavelet transform. Experiments presented showing the effectiveness of this method based on their signal to noise ratio