A Rapidly Established High-Precision Filtering Method

Abstract

The present invention discloses a rapidly established high-accuracy filtering method. The method adopts a high-order low-pass filter, and comprises steps of determining rapid establishment, and outputting a valid value limited in a stable range. Sampling data passes through the high-order low-pass filter and then enters the step of determining rapid establishment, so as to form rapidly established change data; then the valid value limited in a stable range is output through threshold determining. The noise signal can be filtered effectively, the data accuracy is improved, the valid signal can be rapidly established and output, the accuracy range is further improved through valid value determining, very few software resources are occupied, and a problem of imbalance between high accuracy and high-order filter and data response lag of a common filer in filtering is solved.

Description

technical field [0001] The invention belongs to the technical field of filters, in particular to a filtering method. Background technique [0002] With the increasing development of electronic products, the data accuracy requirements are getting higher and higher, so high-precision data sampling and filters are required to achieve. The traditional way to improve precision is hardware and software. The first hardware is to design high-precision sampling circuits. Or add a corresponding filter circuit externally, but this method is costly and technically difficult. Moreover, when using an external filter circuit, if the filter order is low, the filtering effect will not be obvious, and if the filter order is high, the data response will lag seriously. Software filters can be added to the software measures, but also if the filter order is low, the filtering effect is not obvious, and the filter order is high, which will cause a serious lag in data response, which is not applic...

AI Technical Summary

Problems solved by technology

However, when the filtering order of this method is low, the filtering effect is not obvious, and when the filtering order is high, it will cause data response lag.

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