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How to run .m file in python?

  I have a .m code what I want to run in python. Is it any easy way? 1. this code is not a function. 2. don't want to show the matlab window. NOTE:- Matlabsolutions.com  provide latest  MatLab Homework Help, MatLab Assignment Help  ,  Finance Assignment Help  for students, engineers and researchers in Multiple Branches like ECE, EEE, CSE, Mechanical, Civil with 100% output.Matlab Code for B.E, B.Tech,M.E,M.Tech, Ph.D. Scholars with 100% privacy guaranteed. Get MATLAB projects with source code for your learning and research. T his is not a big deal. The python code looks like: import matlab.engine eng = matlab.engine.start_matlab() eng.simple_script(nargout=0) eng.quit() The Matlab script would be perhaps this one line saved as simple_script.m: a = 'it works easily...' Make sure that the script is saved in a folder matlab knows as a search folder. Then run your python script and get the answer:   SEE COMPLETE ANSWER CLICK THE LINK https://www.matlabsolu...
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Removing spikey data from a sensor readout.

 I have a loop which reads out a sensor, once in a while the data is completely off, and gives a spike. I would like to remove those spikes.

 
The data given moves from -180 to 180 degrees, so when my measurement moves from -180 to 180 this should not be filtered (as this is normal).
 
However, if it moves from -180 to 90 then this counts as a spike.
 
It's not possible to do data processing after getting every readout, ideally there should be a filter of some sort in the loop itself.

ANSWER



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Do you have the Signal Processing Toolbox? If so, you could use the median filter. If you want to replace spikes with the median value around them, then compute the median and subtract it from the original and take the absolute value. Then replace those elements with a high value with the median.
 
 
medianSignal = medfilt1(signal, 7);
diffSignal = abs(signal - medianSignal);
spikes = diffSignal > 100; % Whatever...
% Replace
fixedSignal = signal; % Initialize
fixedSignal(spikes) = medianSignal(spikes);

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