Version: 2.0 CFR 1 (Documentation: Aug 15, 2022) — Open-Source and for Python.
This is the official documentation for lmlib, a signal processing library to efficiently analyze single- and multi-channel time series.
This library implements Recurisve Least Squares (RLS) algorithms with
Windowed Linear State-Space Models (Package lmlib.statespace)
Continuous-Time Polynomial Signal Models (Package lmlib.polynomial)
This library provides methods for
Correlation, Convolution, and Matched Filters in low-dimensional vector spaces,
lmlib Doc Content#
- API Reference
- Signal Catalog
- About Us
Indices and tables#
The library is provided by ETH, FHNW, and BFH, see About Us.