Micro-fluidic chip signal denoising method based on double threshold of energy element

Abstract

The invention provides a micro-fluidic chip signal denoising method based on double threshold of an energy element. The micro-fluidic chip signal denoising method includes the steps: 1) according to the signal characteristics of a micro-fluidic chip, selecting wavelet basis and decomposition hierarchy, and performing discrete and stationary wavelet transformation to obtain a wavelet coefficient; 2) converting the wavelet coefficient into a wavelet coefficient energy element; 3) utilizing a double threshold function to perform denoising on the wavelet coefficient energy element; 4) utilizing aspatial domain correlation denoising method to optimize the result after denoising of double threshold; and 5) performing coefficient recovery on the result of optimization, and reconstructing the signal through discrete and stationary wavelet inverse transformation. The micro-fluidic chip signal denoising method based on double threshold of an energy element can suppress the pseudo Gibbs phenomenon, can reduce the loss of the signal of the micro-fluidic chip, and can improve the denoising effect of the signal; and compared with the energy element floating threshold wavelet denoising method, the micro-fluidic chip signal denoising method based on double threshold of an energy element has no burr and jitter phenomenon, enables the detection result of the micro-fluidic chip to be more accurate, and improves the accuracy of the signal after denoising.

Description

technical field [0001] The invention relates to the technical field of chip signal noise processing, in particular to a microfluidic chip signal denoising method based on energy element double thresholds. Background technique [0002] Microfluidic chip, as the core technology of the micro-analysis system proposed in the 1990s, is one of the fastest-growing fields at present, because of its fast response speed, low power consumption, low sample consumption, and easy miniaturization and automation And other characteristics, it has broad application prospects in the field of analysis and detection. The signal of the microfluidic chip is a series of narrow pulse signals in the form of peaks, and different peaks represent different detected ions. The detected microfluidic chip obtained from the analytical detector is a non-stationary signal, which usually contains a lot of noise, and the interference of the noise signal reduces the detection accuracy of the microfluidic chip. ...

AI Technical Summary

Problems solved by technology

[0007] The purpose of the present invention is to provide a method capable of suppressing pseudo-Gibbs for the disadvantages of the existing microfluidic chip noise reduction method in the background technology that can produce Gibbs phenomenon, easily lose high-frequency information of the signal, and affect the accuracy of the signal after signal denoising. Phenomenon, can reduce signal loss, signal denoising method based on double threshold value of energy element microfluidic chip signal denoising method with higher accuracy after denoising

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