Showing content from https://github.com/uofuseismo/mflib below:
uofuseismo/mflib: A library for matched filtering (template matching).
MFLib - A Matched Filtering Library
Contained is the source code for performing matched filtering detection. In principle, the algorithm is quite simple in that it computes a Pearson correlation coefficient at every sample in a time series corresponding to a template. However, the actual implementation in a compiled language is tedious.
See the installation notes.
- Super-Efficient Cross-Correlation SEC-C - if you are a Python or Matlab user looking to do template matching on a desktop computer and dislike the headache that is compilation then this may be the way to go. There is actually a good deal of similarity since this library implements in a compiled language many of the speed-ups that the SEC-C group defined in their paper.
- Fast-Matched-Filter - this is a solid time-domain choice. The core of this appears to be written in C so you'll likely see some pretty good performance. Additionally, it has Python and Matlab bindings.
This software is distributed under the MIT license. The details are here.
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