A Study of Wavelet Threshold Denoising Based on Empirical Mode Decomposition(EMD)

Based on empirical mode decomposition,a wavelet threshold denoising method is presented to solve the signal denoising problem of low signal-to-noise ratio.By contrast with wavelet threshold denoising,the experimental results proved that this method is very efficient and stable in denoising when the signal to noise ratio is rather low.Furthermore,a new way of studying the dynamical signal from structure under environ- mental pulsating loads is proposed.