@@ -178,7 +178,7 @@ Contains several functions to compare the theoretical BER with a statistical BER

##### Find\_Optimum.py

Contains the algorithm for searching for the optimum power distribution. A custom implementation is compared to an existing solution. It is based on scipy and on the file `Theorie_N_receptors.py`.

Contains the algorithm for searching for the optimum power distribution. A custom implementation is compared to an existing solution. It is based on scipy and on the file `Theory_N_receivers.py`.

Its behavior is detailed in our report, and explanations on the matrices used in the optimization are given at the beginning of the file.

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@@ -186,13 +186,13 @@ Its behavior is detailed in our report, and explanations on the matrices used in

Contains functions to calculate an error rate by following the ideal channel model with the Monte-Carlo method.

Usage examples are given in `Comparison_Model_Theorie.py` and at the end of the file.

Usage examples are given in `Comparison_Model_Theory.py` and at the end of the file.

##### Theory\_N\_receivers.py

Contains functions to calculate the theoretical error rate using the formula developed in the report (and the pseudo code given therein).

Usage examples are given in `Comparison_Modele_Theorie.py` and at the end of the file.

Usage examples are given in `Comparison_Model_Theory.py` and at the end of the file.