Denoising of thermogravimetry signal by wavelet transform
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摘要: 由于受實驗條件的影響,在用等溫熱重法進行稀土氧化物脫除煙氣中SO2的動力學實驗過程中有噪音信號的干擾,因而采用Daubechies(N=3)小波函數和Matlab軟件討論了小波變換方法消除熱重實驗噪音信號的影響因素.研究發現閥值的選取規則和軟硬閥值處理方式對消除噪音信號的影響不大,分解層數則對消除噪音信號的影響較大.當信噪比變化平緩時所對應的分解層數是最佳分解層數.經Daubechies(N=3)小波函數消噪后得到的信號能夠比較真實地反映等溫熱重實驗的動力學過程.Abstract: There exists noise signal in the kinetic experiment of desulfurization of flue gas with rare earth oxides by means of isotherm thermogravimetry because of experimental conditions. The contributing factors of the denoising of thermogravimetric signal were discussed by the Daubechies (N=3) function of wavelet transform and Matlab software. The results showed that different rules of threshold and methods of threshold have little effect on denoising, but the number of decomposition layers play an important role in denoising. The optimal number of decomposition layers could be obtained when the rate of signal to noise changed slow. The signal represented the kinetics process of the isotherm thermogravimetric experiment truly after denising.
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Key words:
- rare earth oxides /
- sulphur dioxide /
- thermogravimetry /
- denoising /
- wavelet transform
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