Enhanced Signal Denoising Performance by EMD-based Techniques
نویسندگان
چکیده
Empirical mode decomposition (EMD) is one of the most efficient methods used for nonparametric signal denoising. In this study wavelet thresholding principle is used in the decomposition modes resulting from applying EMD to a signal. The principles of hard and soft wavelet thresholding including translation invariant denoising were appropriately modified to develop denoising methods suited for thresholding EMD modes. We demonstrated that, although a direct application of this principle is not feasible in the EMD case, it can be appropriately adapted by exploiting the special characteristics of the EMD decomposition modes. In the same manner, inspired by the translation invariant wavelet thresholding, a similar technique adapted to EMD is developed, leading to enhanced denoising performance.
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