Spectroscopy and Spectral Analysis, Volume. 42, Issue 1, 277(2022)
Denoising Algorithm of Spectral Signal Based on FFT SVD
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. 7. Root mean square error after denoising by different algorithms
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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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
Category: Research Articles
Received: Nov. 27, 2020
Accepted: --
Published Online: Mar. 31, 2022
The Author Email: Hong-qiu ZHU (hqcsu@csu.edu.cn)