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2005 by
Gerda Strobl,
Georg Holzmann
adaptive is a PD-external library for adaptive systems and filters.
An adaptive system tries to learn from signals of the past. Mostly it is a simple FIR filter, whoes coefficients can be learned to model or predict an other system.
Some applications: system identification, echo cancelation, linear prediction, interference cancelation, self-tuning control, ...
For a lecture at the TU-Graz we implemented various versions of the LMS and NLMS algorithm (= least mean square and normalized least mean square adaptation algorithm).
We also added a lot of examples (see PD-patches in example folder): system identification, interference cancelation, adaptive equalization, decision-directed equalization, ...
A RLS (recursive least square) algorithm and more example patches (e.g. echo cancelation, ...) will follow when I have to learn for the exam ...
For more documentation look through the help and example patches!
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adaptive is published under a Gnu General Public License (see GnuGPL.txt in
this distribution.
To get compiled binaries and tarballs:
http://grh.mur.at
send complaints, bug, thoughts, ... to: grh@mur.at
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