Medical ultrasound signal denoise based on ensemble empirical mode decomposition and nonlinear correlation information entropy

In practical application, medical ultrasonic signal is often polluted by trumpet type noise. The traditional band-pass filter can not be better to resolve the issue of such denoising. In this paper, we decompose medical ultrasound signal by ensemble empirical mode decomposition, and combined with the nonlinear correlation information entropy as the evaluation criteria to accomplish the removal of trumpet type noise. Through simulation experiments, we demonstrate the effectiveness of the method. Compared with wavelet threshold denoising, the proposed method is advantageous.