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An improved EMD-based hard thresholding denoising algorithm was proposed according to statistical characteristic of white Gaussian noise in order to increase performance of the EMD denoising algorithm based on classical wavelet threshold.Firstly, the noisy signal was decomposed by EMD, the first IMF was removed as high-frequency noise and noise energy included in the other IMFs was estimated.Sec-ondly, threshold parameter was determined based on hard threshold denoising principle and the criterion. that the total energy contained in the removed sample points is equal to the estimated white noise energy.The proposed method is self-adaptive. Finally,the improved method and the original method were imple-mented on noisy sinusoidal signal and artificial ECG signal.The results verify that the presented method can enhance denoising effect obviously.