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

5 views (last 30 days)
Shantanu Saxena
Shantanu Saxena on 9 Jan 2017
Commented: Image Analyst on 9 Jan 2017
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.

Answers (1)

Image Analyst
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.
  2 Comments
Image Analyst
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];

Sign in to comment.

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!