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- W4382204010 abstract "In order to solve the problem of low SNR of detection signal due to noise interference in the burn-in test of Ka-band gyrotron traveling wave tube, a novel denoising algorithm combining wavelet threshold and ant colony optimization was proposed in this paper. The novel denoising algorithm adopts the wavelet GCV threshold selection function and uses the ant colony optimization, which iterates the GCV threshold selection function to select the optimal wavelet threshold. Experimental results show that the proposed algorithm improves the signal-to-noise ratio of the detection signal and guarantees the accuracy of the burn-in test, which successfully solve the exiting problem." @default.
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- W4382204010 date "2023-04-25" @default.
- W4382204010 modified "2023-10-16" @default.
- W4382204010 title "A Novel Denoising Algorithm for Detection Signal of Gyro-TWT" @default.
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- W4382204010 doi "https://doi.org/10.1109/ivec56627.2023.10157105" @default.
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