Hong-qiu ZHU, Fei CHENG, Hao-nan HU, Can ZHOU, Yong-gang LI. Denoising Algorithm of Spectral Signal Based on FFT SVD[J]. Spectroscopy and Spectral Analysis, 2022, 42(1): 277
- Spectroscopy and Spectral Analysis
- Vol. 42, Issue 1, 277 (2022)
Fig. 1. Original spectral signal
Fig. 2. Simulation spectral signal with noise ratio of 20 dB
Fig. 3. Signal distribution diagram of the first four singular value components of noisy signal with signal-to-noise ratio of 20 dB
Fig. 4. Signal to noise ratio is 20 dB, the fifth to eighth singular value component signal distribution diagram of noisy signal
Fig. 5. Main frequency difference spectrum of the first 50 singular value component signals
Fig. 6. SNR after denoising by different algorithms
Fig. 7. Root mean square error after denoising by different algorithms
Fig. 8. Measured spectral signal
Fig. 9. The denoising results of the simulation data with the algorithm in this paper
Fig. 10. The denoising results of the simulation data with the singular value difference spectrum algorithm
Fig. 11. The denoising results of the simulation data with the SG filtering algorithm
Fig. 12. The denoising results of the simulation data with the denoising algorithm of wavelet transform
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