The Time Encoding and Decoding Toolkit contains Python implementations of algorithms designed to reversibly convert digitally sampled signals to and from a time-domain representation consisting of a series of time intervals between fixed-amplitude spikes. Sample code demonstrating the use of the implementations is included.
Package documentation is available at https://ted-python.readthedocs.org.
The latest source code can be obtained from https://github.com/bionet/ted.python.
See the included AUTHORS file for more information.
This software is licensed under the BSD License. See the included LICENSE file for more information.
The algorithms implemented in this toolkit are described in the papers listed in the attached BibTeX bibliography. Further research on time domain coding and processing may be obtained from the Bionet Group publication server [1].
| [1] | http://www.bionet.ee.columbia.edu/publications/ |