Abstract
We used a higher-order correlation-based method for signal denoising. In our approach, we applied a third-order correlation technique for the identification of wavelet coefficients uncorrrupted by noise by considering triple correlation coefficients of wavelet-signal correlations for thresholding. Because the higher than second-order moments of the Gaussian probability function are zero, the third-order correlation coefficient will not have a statistical contribution from Gaussian noise under certain conditions. Therefore, in our approach, we examined correlation coefficients in an environment where the noise had been reduced. Our results compared favorably and were less sensitive to threshold selection when compared to a more common denoising method. (Author)