3 papers
stat.ME2026
Machine Learning Integrated in Wavelet Shrinkage (MLShrink)
Dixon Vimalajeewa, Vijini Lakmini, Brani Vidakovic
Data encountered in practice are frequently contaminated by additive noise, and wavelet shrinkage remains a fundamental tool for recovering underlying signals in nonparametric esti…
stat.ME2026
SCOPE Shrinkage: A Unified Framework for Wavelet Denoising
Dixon Vimalajeewa, Vijini Lakmini, Malith Premarathna +2
We introduce Symmetric CDF Oriented Probability Enhanced (SCOPE) shrinkage, a unified family of sign-preserving shrinkage rules constructed from centered cumulative distribution fu…
stat.AP2025
Wavelet Based Cross Correlations with Applications
Jack Kissell, Vijini Lakmini, Brani Vidakovic
Wavelet Transforms are a widely used technique for decomposing a signal into coefficient vectors that correspond to distinct frequency/scale bands while retaining time localization…