Numerical analysis method of anti-aliasing filtering circuit in time domain

Abstract

The invention discloses a numerical analysis method of an anti-aliasing filtering circuit in a time domain. The method comprises the steps of A, creating a current transfer equation set of nodes according to the kirchhoff current law and based on the anti-aliasing filtering circuit; B, performing formal transformation for the transfer equation set, wherein the function relation between an input signal and an output signal can be shown as a second order differential equation; C, solving the equation by the numerical differentiation method to obtain a numerical model of the anti-aliasing filtering circuit. According to the method, a novel method for studying the numerical model of the anti-aliasing filtering circuit in the time domain is proposed, which can perform filtering, and pulse width and amplitude analysis and control for an output pulse signal of a front end pulse detector within the time domain; therefore, the digital model is of practical guide significance for the design and test of filtering and amplitude and width analyzing circuits of an actual pulse signal; the working efficiency of the actual circuit design can be increased, and the target selectivity of an electronic device is improved.

Description

technical field [0001] The invention relates to the processing technology of the output signal of the front-end pulse detector in the time domain, especially the numerical analysis method of the pulse signal filter processing. Background technique [0002] Extracting the physiological and pathological information of the human body from the pulse wave signal as the basis for clinical diagnosis and treatment has always been valued by Chinese and foreign medical circles. The pulse wave signal contains a large amount of information with clinical medical reference significance. Accurate and efficient collection, analysis and processing of the pulse wave signal is of great significance to the observation of human physiological and pathological information. However, it is difficult to master the technique of pulse diagnosis in traditional Chinese medicine, which requires not only the guidance and teaching of famous doctors, but also long-term accumulation of experience. It can be ...

AI Technical Summary

Problems solved by technology

The anti-aliasing filter circuit designed with discrete components is difficult to accurately select resistors and capacitors for filter parameters, and cannot achieve a sharp cutoff for interference signals, nor can it achieve high filter quality parameters.

At the same time, the inherent drift of discrete components also leads to the uncertainty of filtering parameters

Moreover, the filter circuit is designed with discrete components, which is not convenient for parameter adjustment and system upgrade

Images