pytutorial/advanced_programming/task_2_result_pictures

Errors are an option...

Mandatory Tasks

2

Basic:

Scaled by divison max() for every individual frequency band:

3

without preparing the data via /= std:

with equalizing the power via /= std (obviously not the best idea in this case):

4

Phase Coherence

Spectral Coherence

5

Phase Coherence

Spectral Coherence

6

{: .topic-optional} Don't normalize the time series!

i.e. don't do something like this:

data -= data.mean(axis=1, keepdims=True)
data /= data.std(axis=1, keepdims=True)

Otherwise you will not classify anything.

Scaled by divison max() for every individual frequency band (Bad times happen):

7

{: .topic-optional} Don't normalize the time series!

i.e. don't do something like this:

data -= data.mean(axis=1, keepdims=True)
data /= data.std(axis=1, keepdims=True)

Otherwise you will not classify anything.