Sub-Nyquist Sampling with Optical Pulses for Photonic Blind Source Separation
Taichu Shi, Yang Qi, Weipeng Zhang, Paul Prucnal, Ben Wu

TL;DR
This paper introduces an optical pulse sampling technique that enables photonic blind source separation of wideband signals using sub-Nyquist sampling, reducing digital processing complexity.
Contribution
The paper presents a novel optical pulse sampling method for blind source separation that operates at sub-Nyquist rates, improving efficiency over existing techniques.
Findings
Successfully separated large bandwidth signals with low sampling frequency
Reduced digital signal processing workload
Demonstrated feasibility through experimental validation
Abstract
We proposed and demonstrated an optical pulse sampling method for photonic blind source separation. It can separate large bandwidth of mixed signals by small sampling frequency, which can reduce the workload of digital signal processing.
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