Wavelet denoising of powder diffraction patterns

Four powder diffraction patterns taken under different experimental conditi ons were denoised by a new method, i.e., thresholding of wavelet coefficien ts. The patterns were transformed by discrete wavelet transform applying Co iflet4 wavelet function. WLS refinements of peaks' positions, FWHM, and int ensity showed that wavelet denoising, in contrast to previously used polyno mial smoothing, did not shift the maxima and preserved peak and integrated intensities. This method may therefore represent an useful alternative to p olynomial filters or filters based on Fourier transform. (C) 1999 Internati onal Centre for Diffraction Data. [S0885-7156(99)00302-4].