Software Releases

The following freely distributable software has been developed by the Embedded Signal Processing Laboratory at UT Austin.
  1. 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.

  2. 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.


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