WAVELET SELECTION BASED ON WAVELET TRANSFORM FOR OPTIMUM NOISY SIGNAL PROCESSING.
ISABONA, J. AND OJUH. O. D.
ABSTRACT
Wavelets transforms (WT), are distinctive set of orthonormal basis functions specially formed for filtering and trend prediction of signal data. One key advantage of WT tool is that it possesses the capacity to cater for both temporal and spectral representation of signal components, simultaneously. However, a key challenge in exploring WT for optimal signal processing is in its ability to determine the right threshold value, which facilitate in the estimation noise level from a noising signal or data. If the….