2 papers
eess.SP2026
Advances in Wavelet Denoising for Communication Signals: From Parameter Selection Toward Data-Driven Optimization
Priyalakshmi Sheela, Indrakshi Dey
Wavelet denoising suppresses nonstationary, impulsive, and interference-like disturbances in communication signals, but its effectiveness depends on jointly selecting the transform…
eess.SP2026
Drift-Aware RL-based Wavelet Denoising for Network-Traffic Anomaly Detection
Priyalakshmi Sheela, Indrakshi Dey
Traffic-utilisation measurements for network monitoring are corrupted by additive noise and statistical drift: time-dependent change in the signal's mean, variance, distributional…