How can I use feature extraction methods such as Root Mean square and variance in matlab?
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The feature extraction of a certain set of signals is to be done. Feature extraction methods such as Root mean square and variance is to be used to implement it on matlab.
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Image Analyst
on 9 Jan 2017
There are functions such as immse(), var(), stdfilt(), blockproc(), to compute them. There are clustering/classification tools in the Statistic and Machine Learning toolbox and Computer Vision System Toolbox to help you use and understand the feature vectors you've generated.
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Image Analyst
on 9 Jan 2017
Not sure I understand the question, but just use MATLAB functions to make the measurements then string them all together:
featureVector = [theMAV, theVar, theWhatever, someOtherThing, etc];
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