Filtering method and device and storage medium

Abstract

The invention provides a filtering method and device and a storage medium, and relates to the technical field of slow signal filtering. According to the filtering method, firstly, collected signal values from i-m-th time to the i-m+n-th time are acquired, and an original signal value of i-m-1-th time is acquired; a judgment result that the original signal is, from the i-m-th time to the i-m+n-th time, in a rising trend, a falling trend or status of remaining unchanged is acquired on the basis of the collected signal values from the i-m-th time to the i-m+n-th time and an original signal valueof i-1 time; then correcting an collected signal value of i-th time on the basis of a change estimation equation corresponding to the rising trend, the falling trend and the status of remaining unchanged; and thus an original signal value of the i-th time after filtering is obtained. According to the filtering method, estimation on slow signals is realized through simple numerical comparison and addition and subtraction operations, operation speed is higher, occupied resources are fewer, and the original slow signals can be quickly and stably extracted from signals under interference.

Description

technical field [0001] The present invention relates to the technical field of slow signal filtering, in particular to a filtering method, device and storage medium. Background technique [0002] In the application of single-chip microcomputer, we often encounter the problem of signal acquisition and processing, especially the analog signal acquisition in industrial field, because it is easy to be interfered and the interference source is complicated, so this problem is often a difficulty that plagues developers. Although the application of single-chip microcomputers in this area is becoming more and more widespread, the existing filtering algorithms based on single-chip microcomputers are almost the same, and most of the filtering algorithms, such as median filtering, arithmetic mean filtering, weighted Average filtering, moving average filtering, etc. [0003] However, the above-mentioned filtering algorithms are seriously interfered by the environment and the frequency c...

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Problems solved by technology

[0003] However, the above-mentioned filtering algorithms are seriously interfered by the environment and the frequency converters and transformers in nearby equipment, because they involve more multiplication and division operations (such as weighted average filtering, etc.), and even array sorting (such as median filtering), Therefore, more RAM and calculation time are required, and the operation speed of the single-chip microcomputer is required to be higher, and a longer sampling period is required to fill the filter array, so it has the disadvantages of large operation requirements, long sampling period, and insensitive response

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