create a function that performs mean filtering on 1-d timeseries data expressed as t and x, and accepts a % 3rd argument of window size (window size will be odd). use symmetric padding for the ends. in matlab

main.m
function filteredData = meanFilter(data, windowSize)
    % Check if window size is odd
    if mod(windowSize, 2) == 0
        error('Window size must be odd.');
    end
    
    % Calculate the symmetric padding size
    paddingSize = (windowSize - 1) / 2;
    
    % Apply symmetric padding to the data
    paddedData = padarray(data, paddingSize, 'symmetric');
    
    % Initialize the filtered data array
    filteredData = zeros(size(data));
    
    % Perform mean filtering
    for i = 1:length(data)
        window = paddedData(i:i+windowSize-1);
        filteredData(i) = mean(window);
    end
end
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