Use of wavelet transform to enhance piezoelectric signals for analytical purposes Original Research Article

A procedure for efficient denoising of piezoelectric signals based on the combined use of two mathematical approaches, viz. the minimum description length principle and the garrote shrinkage technique (MDL–garrote), was developed with a view to improving the accuracy and precision of the results provided by piezoelectric sensors as well as determining a lower corrected limit of detection (LOD), signals usually consist of many peaks and discontinuities. The proposed wavelet transform (WT) procedure was systematically compared to Stein’s approach and applied to real data from a piezoelectric sensor in order to check its usefulness.