A new method based on wavelet denoising and the analysis of Thorpe displacements d_T profiles is presented for turbulent patch identification. Thorpe profiles are computed by comparing the observed density profile p(z) and the monotonic density profile p_m(z), which is constructed by reordering p(z) to make it gravitationally stable. This method is decomposed in two main algorithms. The first, based on a wavelet denoising procedure, reduces most of the noise present in the measured profiles. This algorithm has been tested from theoretical profiles and has demonstrated a high efficiency in noise reduction, only some limitations were detected in very low-density gradient conditions.
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