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The Application in Processing Analytical Chemistry Signals of a Cardinal Spline Approach to Wavelets

机译:小波基数样条方法在分析化学信号处理中的应用

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The mth order B-spline N↓(m)(x) with integer knots generates a multiresolution analysis, ...#V&(-1) #V&(0)…, with the mth order of approximation in wavelet transformation (WI). We have compared the WT method with Fourier transformation processing analytical chemistry signals in detail and have found fiat the WT method has many advantages. This method can directly provide the frequency domain distribution of a signal in a time domain. The algorithms are simpler and take less time in operation, and one needs only to decompose the digital signal rather than to undertake many transformations. Moreover, it is not necessary to preprocess the original signal to analyze the pattern of data and to know the statistical character of the noise. When the signal-to-noise ratio is 0.2, the processed results of theoretical and experimental data can still be satisfactory.
机译:具有整数节的m阶B样条N↓(m)(x)生成多分辨率分析... ...#V&(-1)#V&(0)…,在小波变换(WI)中具有近似m阶。我们将WT方法与傅里叶变换处理分析化学信号进行了详细比较,并发现WT方法具有许多优势。该方法可以直接提供时域中信号的频域分布。该算法更简单,运算时间更短,只需要分解数字信号,而不需要进行许多变换。而且,不必预处理原始信号来分析数据模式并知道噪声的统计特性。当信噪比为0.2时,理论和实验数据的处理结果仍然令人满意。

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