how to calculate the moving standard deviation of a vector in matlab

To calculate the moving standard deviation of a vector in MATLAB, you can use the movstd function. This function returns a vector of the same size as the input vector, with each element representing the standard deviation of a part of the input vector.

Here's an example usage of the movstd function:

main.m
% Generate a random vector of 100 elements
x = rand(1, 100);

% Calculate the moving standard deviation with a window of 10 elements
window_size = 10;
moving_std = movstd(x, window_size);

% Plot the original vector and the moving standard deviation
plot(x);
hold on;
plot(moving_std);
legend('Original Vector', 'Moving Standard Deviation');
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In this example, we generate a random vector of 100 elements using the rand function. We then calculate the moving standard deviation of the vector using a window size of 10 with the movstd function. Finally, we plot both the original vector and the moving standard deviation using the plot function.