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Import.
author Daniele Nicolodi <nicolodi@science.unitn.it>
date Wed, 23 Nov 2011 19:22:13 +0100
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Daniele Nicolodi <nicolodi@science.unitn.it>
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1 <p>
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Daniele Nicolodi <nicolodi@science.unitn.it>
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2 Welcome to LTPDA!
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Daniele Nicolodi <nicolodi@science.unitn.it>
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3 </p>
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Daniele Nicolodi <nicolodi@science.unitn.it>
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4 <p>
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Daniele Nicolodi <nicolodi@science.unitn.it>
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5 LTPDA provides a framework for doing object-oriented data analysis. LTPDA objects
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Daniele Nicolodi <nicolodi@science.unitn.it>
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6 can represent typical data structures needed for data analysis, for example, time-series
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Daniele Nicolodi <nicolodi@science.unitn.it>
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7 data or digital filters. These objects can then flow through a data analysis pipeline
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Daniele Nicolodi <nicolodi@science.unitn.it>
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8 where at each stage they record the actions. The output objects of a data analysis pipeline
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Daniele Nicolodi <nicolodi@science.unitn.it>
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9 therefore contain a full history of the processing steps that have been performed in reaching
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Daniele Nicolodi <nicolodi@science.unitn.it>
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10 this point. This history can be view to allow others to understand how results were arrived at, but
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Daniele Nicolodi <nicolodi@science.unitn.it>
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11 it can also be used to recreate the result.
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12 </p>
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