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Two-stage kurtosis de-noising example. The MSNA is decomposed using the SWT. A moving kurtosis estimate is made of the detail coefficients (d2 and d3). The coefficients are grouped into noise-related (K2 and K3 < TK) and burst-related (K2 and K3 > TK). The noise-related coefficients are used to estimate noise level (σ2 and σ3) and burst-related coefficients undergo thresholding. The de-noised signal is reconstructed with the ISWT.
