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Updated: Jun 4, 2026

Terahertz Imaging and Characterization Protocol for Freshly Excised Breast Cancer Tumors
Published on: April 5, 2020
[Joint time-frequency analysis for removing the spectral interference of terahertz]
Qing Sun1, Yu-Qiang Deng, Shi-Ying Cao
1Optics Division, National Institute of Metrology, Beijing 100013, China. sunqing@nim.ac.cn
Wavelet-transform overcomes limitations of Fourier-transform for terahertz (THz) spectroscopy. This method accurately analyzes THz frequencies in time-resolved measurements, improving spectral consistency and removing noise.
Area of Science:
- Physics
- Spectroscopy
- Signal Processing
Context:
- Traditional Fourier-transform in terahertz (THz) spectroscopy mixes frequency components across the entire temporal waveform.
- This mixing prevents distinguishing signal frequencies from noise frequencies, leading to inconsistent spectra and interference artifacts, especially with varying scan lengths or echo pulses.
Purpose:
- To address the limitations of conventional Fourier-transform in analyzing terahertz (THz) waveforms.
- To develop a method for removing inconsistent and interference spectra in THz time-resolved measurements.
Summary:
- The study applied wavelet-transform to terahertz (THz) time-resolved spectroscopy data.
- Wavelet-transform successfully distinguished local THz frequencies at different time locations, effectively removing inconsistent and interference spectra observed with Fourier-transform.
Impact:
- Wavelet-transform offers a more accurate spectral analysis for terahertz (THz) time-resolved spectroscopy.
- This technique enhances spectral consistency and noise removal, paving the way for improved applications in THz time-resolved studies.
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