0
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
|
1 <p>
|
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
|
2 Welcome to LTPDA!
|
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
|
3 </p>
|
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
|
4 <p>
|
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
|
5 LTPDA provides a framework for doing object-oriented data analysis. LTPDA objects
|
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
|
6 can represent typical data structures needed for data analysis, for example, time-series
|
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
|
7 data or digital filters. These objects can then flow through a data analysis pipeline
|
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
|
8 where at each stage they record the actions. The output objects of a data analysis pipeline
|
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
|
9 therefore contain a full history of the processing steps that have been performed in reaching
|
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
|
10 this point. This history can be view to allow others to understand how results were arrived at, but
|
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
|
11 it can also be used to recreate the result.
|
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
|
12 </p>
|
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
|
13
|