When the learning-rate parameter η is small, the LMS algorithm acts like a low-pass filter with a small cutoff frequency. Such a filter produces an output that is proportional to the average of the input signal
Using Eq. (3.41), demonstrate this property of the LMS algorithm by considering the simple example of the algorithm using a single parameter
