Software Releases

The following software has been developed by the Embedded Signal Processing Laboratory at UT Austin. The software is freely distributable.
  1. Junmo Sung, Jinseok Choi and Brian L. Evans, "Narrowband Channel Estimation for Hybrid Beamforming Millimeter Wave Communication Systems with One-Bit Quantization", MATLAB code to accompany a paper submitted to the 2018 IEEE Int. Conf. on Acoustics, Speech, and Signal Processing. Version 1.0 (October 27, 2017).
  2. Jinseok Choi and Brian L. Evans, "Antenna Selection for Large-Scale MIMO Systems with Low-Resolution ADCs", MATLAB code to accompany a paper for the 2018 IEEE International Conference on Acoustics, Speech and Signal Processing Version 1.0 (October 27, 2017).
  3. Yeong Choo and Brian L. Evans, "Complex Block Floating-Point Format with Box Encoding For Wordlength Reduction in Communication Systems", MATLAB code to accompany a paper for the 2017 Asilomar Conferenece Signals, Systems and Computers, Version 1.0 (October 16, 2017).
  4. Junmo Sung, Jinseok Choi and Brian L. Evans, "Wideband Millimeter Wave Channel Estimation Algorithms", MATLAB code for wideband channel estimation algorithms for hybrid beamforming millimeter wave communication systems with low-resolution analog-to-digital converters (ADCs). Version 1.0 (October 13, 2017).
  5. Jinseok Choi and Brian L. Evans, "User Scheduling Algorithms for Millimeter Wave MIMO Systems", MATLAB code to accompany a paper for the 2018 IEEE International Conference on Communications. Version 1.0 (October 13, 2017).
  6. Jinseok Choi and Brian L. Evans, "Space-Time Baseband LTE Compression Software", copyright © 2016 by The University of Texas. This MATLAB release implements algorithms to compress uplink baseband cellular LTE signals received by an antenna array. Version 1.0 (April 4, 2016).
  7. Karl F. Nieman, Marcel Nassar, Jing Lin and Brian L. Evans, "Approximate Message Passing (AMP) Receiver". Release contains an AMP algorithm 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 AMP algorithm models the impulsive noise using a two-term Gaussian mixture model. Version 1.0 (June 5, 2013) contains two components:
  8. Kapil Gulati, Marcel Nassar, Aditya Chopra, Nnaemeka Ben Okafor, Marcus R. DeYoung, Navid Aghasadeghi, Arvind Sujeeth, and Brian L. Evans, "Radio Frequency Interference Modeling and Mitigation Toolbox in MATLAB", copyright © 2006-2011 by The University of Texas. This toolbox provides a simulation environment for generating radio frequency interference (RFI) and quantifying the performance of algorithms for parameter estimation and interference mitigation. Release includes 56 files with 10,280 lines and 430 kB of Matlab code. Version 1.6 (April 1, 2011).


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