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br ) % % Matlab code by : % Wilder Bezerra Lopes - Ph. m - General script to call the GAAFs % % Supplementary material for IEEE Signal Processing Transactions % submission : % "Geometric Algebra Adaptive Filters", % Authors : Wilder Lopes ( wilder. pdf) together with simulation data (simData.mat). For further information, please refer to the GA documentation at The user is able to set the following AF parameters:Īt the end, the learning curves for the Mean-Square Error (MSE) and the Excess Mean-Square Error (EMSE) are plotted and saved (in. This constrasts with the usal LMS which only estimates real/complex entries. Thus, each regressor and weight vector entry has 8 coefficients, i.e., for each entry of the weight vector, 8 coefficients have to be estimated. In this example, the multivectors samples belong to the Geometric Algebra of R^3. If you want to actually run the notebook with the Matlab kernel, you should:Ģ - Follow the instructions on to make the Jupyter notebook capable of running the Matlab kernel. You can use this notebook as a simple instruction guide (plain text) to understand the script before running it from your Matlab version.
#Matlab 2014a ubuntu 14.04 how to#
This is an example on how to run the GA-LMS (standard) binary from Matlab.