ArticleSensors (Basel, Switzerland)2022
Radar Detection-Inspired Signal Retrieval from the Short-Time Fourier Transform.
Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Advanced methodology for damping characterization of the human tympanic membrane using high-speed digital holography and STFT analysis.Scientific reports · 2026Article
- Advanced Methodology for Damping Characterization of the Human Tympanic Membrane Using High-Speed Digital Holographic and STFT Analysis.Research square · 2026Article
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Authors and funding
1 author.
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Abstract
This paper presents a novel adaptive algorithm for multicomponent signal decomposition from the time-frequency (TF) plane using the short-time Fourier transform (STFT). The approach is inspired by a common technique used within radar detection called constant false alarm rate (CFAR). The areas with the strongest magnitude are detected and clustered, allowing for TF mask creation and filtering only those signal modes that contribute the most. As a result, one can extract a particular component void of noise and interference regardless of the signal character. The superiority understood as an improved reconstructed waveform quality of the proposed method is shown using both simulated and real-life radar signals.
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