Volume 17, Issue 2 (2026)

Table of contents

• Published Subscription Review Article 25 Jun 2026

  Diffusion-Based Enhancement of Low-SNR Time- Frequency Signals

  By Pradnya Kharde, Sunil Kharde, Jyoti Lokhande, Sangita Wamane

  Abstract: Traditional enhancing techniques are useless in low signal-to-noise ratio (LSNR) situations because noise drastically interferes with communication signals. Based on an enhanced DiffBIR model, this paper suggests a dual-stage signal improvement approach that combines diffusion with deep learning. By combining the Inception module for multi-scale feature extraction with the Pixel Fusion Attention (PFA) module for significant region highlighting, the model improves signal recovery in the time- frequency domain. Experiments show …

  Published in Current Trends in Signal Processing · Vol. 17, Issue 2, 2026 Read article →