Upgrade GR-Wavelearner on the AIR-T

Performing FFTs using the GPU on the AIR-T

The Deepwave Digital team pushes regular updates to GR-Wavelearner. Follow these instructions to upgrade to the latest version.

AirStack v0.2.0+

Step 1: Update GR-Wavelearner

Make sure that you have the latest version of the GR-Wavelearner repository. By default GR-Wavelearner's source code is in /usr/local/src/deepwave. To update the repository perform the following commands in the terminal on the AIR-T:

  1. Right click on the desktop and choose Terminal
  2. cd /usr/local/src/deepwave/gr-wavelearner
  3. sudo -i
  4. git fetch
  5. git reset --hard
  6. git pull
  7. If you see Already up-to-date you already have the latest version

Step 2: Compile and Install

Now enter the following commands to upgrade GR-Wavelearner:

  1. cd build
  2. make clean
  3. cmake ../
  4. make
  5. sudo make install
  6. Press ctrl-d to escape out of sudo.

Now you are done and have the latest version of GR-Wavelearner on your AIR-T! If you launch GNU Radio Companion, you should see the latest blocks under the Wavelearner modules.

AirStack v0.1

Step 1: Update GR-Wavelearner

Make sure that you have the latest version of the GR-Wavelearner repository. By default GR-Wavelearner's source code is in /usr/local/src/deepwave. To update the repository perform the following commands in the terminal on the AIR-T:

  1. Right click on the desktop and choose Terminal
  2. cd /usr/local/src/deepwave/gr-wavelearner
  3. git fetch
  4. git reset --hard
  5. git pull
  6. If you see Already up-to-date you already have the latest version

Step 2: Compile and Install

Now enter the following commands to upgrade GR-Wavelearner:

  1. cd build
  2. make clean
  3. cmake ../
  4. make
  5. sudo make install

Now you are done and have the latest version of GR-Wavelearner on your AIR-T! If you launch GNU Radio Companion, you should see the latest blocks under the Wavelearner modules.