A time-of-flight mass spectrometry signal denoising method and system

Abstract

The application discloses a time-of-flight mass spectrum signal denoising method and system, and belongs to the technical field of mass spectrum signal processing and analysis; the method comprises the following steps: performing multi-layer discrete wavelet decomposition on an original signal; performing energy quantization and sorting on each layer of detail coefficients; performing mutation point detection on the tail interval of the sorted energy sequence to automatically identify the demarcation point of noise and effective spectrum peaks and determine an upper threshold value; introducing a correction mechanism based on the peak energy section proportion to a preset decomposition layer to calculate a lower threshold value and form a double-threshold value framework; adopting a nonlinear double-threshold value power function to process the detail coefficients, so that noise suppression and spectrum peak reservation are considered; and finally, a denoised signal is obtained through inverse wavelet reconstruction; the application can realize adaptive threshold selection according to the energy distribution characteristics of different decomposition layers, effectively solves the problem that spectrum peaks are weakened due to excessive excitation of high-layer threshold values in traditional methods, and significantly improves the signal-to-noise ratio and spectrum peak fidelity of the denoised signal.

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