What does MTA offer?
If offers rich time series methods...
to better predict
to correlate time series
to index and compress
to do cross-scale retrieval of “motifs”
to build ‘episodic memory’ stores
to normalise signal extraction, reduce noise
to convert sub-symbolic data to rich symbolic data
Multiscale Trend Analysis
Ilya Zaliapin ∗
,
Andrei Gabrielov †
, and
Vladimir Keilis-Borok‡
Revised: February 02, 2004
∗Institute of Geophysics and Planetary Physics, University of California, Los Ange
1567, USA and International Institute of Earthquake Prediction Theory and Mathematic
Russian Academy of Sciences, Moscow, Russia, E-mail:
[email protected] Phone: +10-310
+10-310-2063051, corresponding author.
†Departments of Mathematics and Earth and Atmospheric Sciences, Purdue University
IN 47907-2067, USA. E-mail:
[email protected]
‡
the MTA paper is a good read:
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