mse function in matlab

In MATLAB, you can use the mse function to calculate the mean-squared error between two signals. The syntax for the mse function is as follows:

main.m
mse_value = mse(signal1, signal2)
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where signal1 and signal2 are the input signals for which we want to calculate the mean squared-error.

Here is an example code that demonstrates how to use the mse function in MATLAB:

main.m
% Define two signals to compare
signal1 = [1, 2, 3, 4, 5];
signal2 = [2, 4, 6, 8, 10];

% Calculate mean squared-error between the two signals
mse_value = mse(signal1, signal2)

% Output: 12
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In the above example, we define two signals signal1 and signal2 and then calculate the mean squared-error between them using the mse function. The output is a single value which represents the mean squared-error between the two signals.