Task 2 -- Mandatory Tasks - Revision history

Davrot: /* 2 */

2025-10-23T13:20:48Z

← Older revision		Revision as of 13:20, 23 October 2025
Line 4:		Line 4:
	Basic:<div class="figure">		Basic:<div class="figure">
	[[File:31 0.png]]		[[File:31 0.png]]
	</div>Scaled by divison max() for every individual frequency band:		</div>Scaled by divison max() for every individual frequency band:[[File:31 1.png]]<div class="figure">

	[[File:31 1.png]]<div class="figure">
	</div>		</div>

Davrot: /* 5 */

2025-10-23T13:20:03Z

← Older revision		Revision as of 13:20, 23 October 2025
Line 33:		Line 33:
	[[File:31 11.png]]		[[File:31 11.png]]
	</div>Spectral Coherence<div class="figure">		</div>Spectral Coherence<div class="figure">
	[[File:~~Image8.png\|image8~~.png]]		[[File:31 8.png]]
	</div><div class="figure">		</div><div class="figure">
	[[File:~~Image9.png\|image9~~.png]]		[[File:31 9.png]]
	</div>		</div>

	== 6 ==		== 6 ==
	~~{: .topic-optional}~~ Don’t normalize the time series!		'''Don’t normalize the time series!'''



	i.e. don’t do something like this:<syntaxhighlight lang="python">data -= data.mean(axis=1, keepdims=True)		i.e. don’t do something like this:<syntaxhighlight lang="python">data -= data.mean(axis=1, keepdims=True)
	data /= data.std(axis=1, keepdims=True)</syntaxhighlight>Otherwise you will not classify anything.<div class="figure">		data /= data.std(axis=1, keepdims=True)</syntaxhighlight>Otherwise you will not classify anything.<div class="figure">
	[[File:~~Image12.png\|image12~~.png]]		[[File:31 12.png]]
	</div>Scaled by divison max() for every individual frequency band (Bad times happen):<div class="figure">		</div>Scaled by divison max() for every individual frequency band (Bad times happen):<div class="figure">
	[[File:~~Image13.png\|image13~~.png]]		[[File:31 13.png]]
	</div>		</div>

	== 7 ==		== 7 ==
	~~{: .topic-optional}~~ Don’t normalize the time series!		'''Don’t normalize the time series!'''



	i.e. don’t do something like this:<syntaxhighlight lang="python">data -= data.mean(axis=1, keepdims=True)		i.e. don’t do something like this:<syntaxhighlight lang="python">data -= data.mean(axis=1, keepdims=True)
	data /= data.std(axis=1, keepdims=True)</syntaxhighlight>Otherwise you will not classify anything.<div class="figure">		data /= data.std(axis=1, keepdims=True)</syntaxhighlight>Otherwise you will not classify anything.<div class="figure">
	[[File:~~Image14.png\|image14~~.png]]		[[File:31 14.png]]
	</div>		</div>

Davrot: Created page with "Errors are an option… === 2 === Basic:
File:31 0.png
Scaled by divison max() for every individual frequency band: File:31 1.png

== 3 == without preparing the data via /= std:
File:31 2.png
with equalizing the power via /= std (obviously not the best idea in this case):
File:31 3.png
== 4 == Phase Coherence
File:31 4.png <..."

2025-10-23T13:17:06Z

Created page with "Errors are an option… === 2 === Basic:<div class="figure"> File:31 0.png </div>Scaled by divison max() for every individual frequency band: File:31 1.png<div class="figure"> </div> == 3 == without preparing the data via /= std:<div class="figure"> File:31 2.png </div>with equalizing the power via /= std (obviously not the best idea in this case):<div class="figure"> File:31 3.png </div> == 4 == Phase Coherence<div class="figure"> File:31 4.png <..."

New page

Errors are an option…

=== 2 ===
Basic:<div class="figure">
[[File:31 0.png]]
</div>Scaled by divison max() for every individual frequency band:

[[File:31 1.png]]<div class="figure">
</div>

== 3 ==
without preparing the data via /= std:<div class="figure">
[[File:31 2.png]]
</div>with equalizing the power via /= std (obviously not the best idea in this case):<div class="figure">
[[File:31 3.png]]
</div>

== 4 ==
Phase Coherence<div class="figure">
[[File:31 4.png]]
</div><div class="figure">
[[File:31 5.png]]
</div>Spectral Coherence<div class="figure">
[[File:31 6.png]]
</div><div class="figure">
[[File:31 7.png]]
</div>

== 5 ==
Phase Coherence<div class="figure">
[[File:31 10.png]]
</div><div class="figure">
[[File:31 11.png]]
</div>Spectral Coherence<div class="figure">
[[File:Image8.png|image8.png]]
</div><div class="figure">
[[File:Image9.png|image9.png]]
</div>

== 6 ==
{: .topic-optional} Don’t normalize the time series!

i.e. don’t do something like this:<syntaxhighlight lang="python">data -= data.mean(axis=1, keepdims=True)
data /= data.std(axis=1, keepdims=True)</syntaxhighlight>Otherwise you will not classify anything.<div class="figure">
[[File:Image12.png|image12.png]]
</div>Scaled by divison max() for every individual frequency band (Bad times happen):<div class="figure">
[[File:Image13.png|image13.png]]
</div>

== 7 ==
{: .topic-optional} Don’t normalize the time series!

i.e. don’t do something like this:<syntaxhighlight lang="python">data -= data.mean(axis=1, keepdims=True)
data /= data.std(axis=1, keepdims=True)</syntaxhighlight>Otherwise you will not classify anything.<div class="figure">
[[File:Image14.png|image14.png]]
</div>