Original link: http://tecdat.cn/?p=7004
Sometimes, the data is unnecessary or transient spikes. Median filtering is to eliminate their natural way.
In the presence & 60 Hz supply line noise, consider the open-circuit voltage of analog input terminal of the instrument. Sampling rate of 1 kHz.
fs = 1000;
t =（0：numel（openLoopVoltage） - 1）/ fs;
Disrupted by the addition of a random signal symbol at a random point of the transient.
yax = ylim;
The function medfilt1value and a specified number of neighboring points with each point of the point of the replacement signal. Thus, median filtering and discarding the surroundings distinct points. Using a set of three neighboring points to the filtered signal to calculate a median value. Notice how the spikes disappear.
medfiltLoopVoltage = medfilt1（noisyLoopVoltage，3）;
If you have any questions, please leave a comment below.
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Big Data tribe - Chinese professional third-party data service providers to provide customized one-stop data mining and statistical analysis consultancy services
Statistical analysis and data mining consulting services: y0.cn/teradat (Consulting Services, please contact the official website customer service )
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QQ exchange group: 186 388 004
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Research; the company outsourcing; online and offline one training; data reptile collection; academic research; report writing; market research.
[Tribe] big data to provide customized one-stop data mining and statistical analysis consultancy
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