I am fairly new to signal analysis, so pardon any noobish questions, but I couldn't find a clear answer by googling.
I am using PyLab to calculate certain values from a given data.
My data is a 3D matrix of some sensor readings. For example, like this.
I have calculated rms, mean, fft, etc. for them using various functions.
Now, I read somewhere to classify them, I would first require to make a "feature vector".
I didn't fully grasp the concept of feature vector, even though it's given in one of the comments to one of the other questions here on the site.
The question is, how do I make the feature vector given the individual values I got for this data.
How would my feature vector look like?
Can someone please demonstrate using a dummy example?
Any help is much appreciated!