Main -> Users' Guide and Examples

Requirements Edit

The software has been tested with MATLAB version (R2009a). The software may not work with earlier releases that do not support object-oriented programming. Sorry, we are still looking for a workaround.

Installation Edit

MATLAB files for implementing the GAMP algorithm can be downloaded from here.

  1. Unzip the file in any directory.
  2. Add the subdirectory, code/main, to your MATLAB path.
  3. In MATLAB, cd to code/test and run estimTest. This will run the GAMP algorithm for a Bernoulli-Gaussian sparse vector and compare the performance against a linear least-squares estimator.

Examples Edit

Examples of the code are found in the subdirectory trunk/code/examples. Right now, only two simple examples have been created, but we are in the process of putting in more to illustrate various features of the code.

You can also take a look at the file code/test/estimTest.m for an example of different estimators.