Wigner-Ville Transform for RF Signal Analysis
Research Paper#Signal Processing, Radio Frequency, Information Theory🔬 Research|Analyzed: Jan 3, 2026 06:32•
Published: Dec 30, 2025 22:16
•1 min read
•ArXivAnalysis
This paper explores the Wigner-Ville transform as an information-theoretic tool for radio-frequency (RF) signal analysis. It highlights the transform's ability to detect and localize signals in noisy environments and quantify their information content using Tsallis entropy. The key advantage is improved sensitivity, especially for weak or transient signals, offering potential benefits in resource-constrained applications.
Key Takeaways
- •The paper introduces the Wigner-Ville transform as an information-theoretic tool for RF signal analysis.
- •It uses Tsallis entropy to quantify information content within signals.
- •Wigner-Ville-based methods offer improved sensitivity, especially for weak or transient signals.
- •Significant performance gains (e.g., >15dB) are possible compared to energy-based methods.
- •The approach avoids extensive training routines, making it suitable for resource-constrained applications.
Reference / Citation
View Original"Wigner-Ville-based detection measures can be seen to provide significant sensitivity advantage, for some shown contexts greater than 15~dB advantage, over energy-based measures and without extensive training routines."