  We propose a method to determine the switching rates of a random telegraph
signal. We apply digital low pass filtering with varying bandwidth to the raw
signal, evaluate the cumulants of the resulting distributions and compare them
with the analytical prediction. This technique is useful in case of a slow
detector with response time comparable to the time interval between the
switching events. We demonstrate the efficiency of this method by analyzing
random telegraph signals generated by individual charge tunneling events in
metallic single-electron transistors.
