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Deterministic Compressed Sensing in Time-Domain Spectroscopy
Yookyung Ha1,2, Jonas Woeste1,2, Dominic Azih1,2
1DLR Institute of Space Research, Rutherfordstr. 2, 12489 Berlin, Germany.
Applied Spectroscopy
|July 1, 2026
Summary
Compressed sensing with deterministic sampling points allows time-domain spectroscopy below the Nyquist rate. This breakthrough enables compact, on-chip sensors for future applications.
Area of Science:
- Spectroscopy
- Signal Processing
- Sensor Technology
Background:
- Traditional time-domain spectroscopy requires high sampling rates, limiting device miniaturization.
- Compressed sensing offers potential for signal recovery from sparse measurements.
Purpose of the Study:
- To demonstrate sub-Nyquist sampling for time-domain spectroscopy using compressed sensing.
- To explore the feasibility of on-chip time-domain spectroscopy devices.
Main Methods:
- Utilized compressed sensing principles with deterministic sampling points.
- Performed time-domain spectroscopy experiments under sub-Nyquist sampling conditions.
Main Results:
- Successfully achieved time-domain spectroscopy with sub-Nyquist sampling for the first time.
- Validated the effectiveness of compressed sensing in this context.
Conclusions:
- Compressed sensing with deterministic sampling is a viable method for sub-Nyquist time-domain spectroscopy.
- This technique is a key enabler for developing next-generation compact sensors and on-chip spectroscopy devices.
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