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Design of the comprehensive index for the signal processing quality evaluation and its application in the spectral signal denoising

Spectrum measurement is the basic method of the quantum optics theoretical and experimental study, also the accurate measurement and the analysis of spectral data is the basis of the research on the interaction between the matter and the light. This paper constructs a comprehensive evaluation index Q and it is used to select the wavelet filtering method for the denoising in processing of the spectral data. The random Gaussian noise is added on the known data of sine signal and the specific spectrum signal respectively and it is used as the validation of the proposed method for denoising analysis. The experimental results show that the optimal wavelet base selected by the comprehensive evaluation index has higher peak signal-to-noise ratio and low relative error, and this method has the feature of stability.