Version: 1.1 beta, CFR 1
A Model-based signal processing library working with windowed linear state-space and polynomial signal models.
lmlib is open-source and for Python for fast model-based single- and multi-channel signal processing. To ensure either maximum portability or maximum processing speed, lmlib offers multiple backends:
Plain Python backend (highly portable)
Python with JIT–Just In Time backend (fairly protable, fairly fast)
Python with C/OpenBLAS backend (maximum processing speed)
The library is provided by Signal and Information Processing Laboratory (ISI), ETH Zurich and Bern University of Applied Sciences, Institute for Human Centered Engineering (HuCE), Switzerland.
For quick start, consider the application and tutorial examples.
lmlib Documentation
Main Modules
API Documentation
Typical Applications
Examples and Tutorials
Install and Set-Up
Frequently Used References
About and Contact
Bibliography
module: statespace
cost functions based on discrete-time autonomous linear state-space models (ALSSMs)
module: polynomials
calculus for continuous-time polynomials
module: utils
utilities such as a (bio-)signal catalogs and test signal generators
Index
Module Index
Search Page