小波变换方法消除热重实验噪音信号
Denoising of thermogravimetry signal by wavelet transform
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摘要: 由于受实验条件的影响,在用等温热重法进行稀土氧化物脱除烟气中SO2的动力学实验过程中有噪音信号的干扰,因而采用Daubechies(N=3)小波函数和Matlab软件讨论了小波变换方法消除热重实验噪音信号的影响因素.研究发现阀值的选取规则和软硬阀值处理方式对消除噪音信号的影响不大,分解层数则对消除噪音信号的影响较大.当信噪比变化平缓时所对应的分解层数是最佳分解层数.经Daubechies(N=3)小波函数消噪后得到的信号能够比较真实地反映等温热重实验的动力学过程.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.