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Outline
The collection of data from high-power power supply output signals (voltage/current) will be unavoidably interfered by electromagnetic noise, which affects the analysis of voltage/current signals. Therefore, the denoising of high-power power supply signals is an essential process. For the analysis of output signal characteristics of high-power power supply, a denoising method is proposed, in which a morphological filter is superimposed on a modified wavelet threshold function. The modified wavelet threshold denoising method can filter random noises by adjusting parameters, which can recover useful signals from noisy signals more effectively and reduce unnecessary distortion while taking into account the advantages of soft/hard threshold functions. In comparison, the morphological filter is mainly used to filter impulse interference. Simulation results show that the proposed algorithm can effectively reduce noise in the high-power power supply signal, which largely preserves the characteristics of the actual signal. From the comparison between the proposed method and other modified wavelet algorithms on which the morphological filter is superimposed, it is found that the signal-to-noise ratio is improved by 17.5%. In addition, the superiority of the proposed method was verified by experimental results.
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| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |
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