Software Releases
The following freely distributable software has been developed by the
Embedded Signal Processing Laboratory at UT Austin.
- Sparse Bayesian learning (SBL) decoder.
SBL algorithm (June 4, 2012) for decoding complex-valued
orthogonal frequency division multiplexing (OFDM) signals.
The algorithm estimates the impulsive noise observed on the
null tones at the receiver to subtract out an estimate of the
impulsive noise in the current OFDM frame.
The Matlab code might rely on functions in Matlab toolboxes.
To run the LabVIEW code, you could either download a
45-day trial of LabVIEW
or download the free
LabVIEW
runtime engine.
The LabVIEW runtime engine would allow you to run but not modify
LabVIEW programs.
- Interference Modeling and
Mitigation Toolbox.
Version 1.6 (April 1, 2011) provides a simulation environment
for generating, modeling and mitigating impulsive noise.
Impulsive noise models acoustic noise, powerline noise, and
radio frequency interference.
The Matlab code might rely on functions in Matlab toolboxes.
Page last updated 06/16/16.
Mail comments about this page to
bevans@ece.utexas.edu.