function [noise] = noiseGenerator(kernel_size, execution_fraction, noise_size, sampling_frequency, std, max_freq, plotting)

    stride = kernel_size/execution_fraction;
    num_actions = floor(noise_size/stride);
    noise = zeros(1, noise_size);
    dt = 1/sampling_frequency;
    time = linspace(-((kernel_size+1)/2-1)*dt, (kernel_size+1)/2*dt, kernel_size);
    kernel = sinc(time/kernel_size).*sinc(time);
    
    if plotting
        figure
        plot(kernel)
    end
    actions = randn(1,num_actions)*std;
    actions = lowpass(actions, max_freq, sampling_frequency/stride);


    for i=0:num_actions-1
        if i*stride+kernel_size < numel(noise)
            noise(i*stride+1:i*stride+kernel_size) = noise(i*stride+1:i*stride+kernel_size)...
                                               + actions(i+1) * kernel;
        else 
            noise(i*stride+1:end) = noise(i*stride+1:end)...
                                               + actions(i+1) * kernel(1:numel(noise(i*stride+1:end)));
        end
    end

    

end