What is the source code to calculate the mean square error in matlab?

Answer 1

The source code to calculate the mean square error in matlab is this function: MSE = mean((desired - mean).^2). This indicates that you have the desired signal and the actual signal to work with.

Answer 2

Here is an example of MATLAB code to calculate the mean square error (MSE):

function mse = calculateMSE(actual, predicted)
    diff = actual - predicted;
    squared_diff = diff.^2;
    mse = mean(squared_diff);
end

In this code, the actual and predicted inputs represent the actual and predicted values, respectively. The function calculateMSE subtracts the predicted values from the actual values, squares the differences, takes the average of the squared differences, and returns the MSE.