Study on Spline Wavelet Self-convolution in Filtering and Resolving Overlapped Voltammetric Signals Simultaneously
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摘要:
The normal distribution function is used as resolving factor and spline wavelet self-convolution is used to resolve the overlapped peaks containing noise. The resolution of several kinds of overlapped peaks ( SNR from 5 to 50) simulated by computer has been discussed in details. It is known that the overlapped peaks with noise can be separated (SNR≥50) directly and the noise is removed at the same time in time domain.Base-line separation can be achieved. The relative errors of peak area and position are less than 5. 0%. The satisfactory results are also obtained in resolving voltanametric overlapped signals by this method.