How can I use feature extraction methods such as Root Mean square and variance in matlab?

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.

Answer 1

[Image Analyst]

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.

[Shantanu Saxena]

what can I do to implement the features like Mean Absolute Value and variance using their given definition per channel or formula for a given signal in order to generate a feature vector?

[Image Analyst]

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];