There is only one parameter in the LMS algorithm that is chosen by you: the step size. You need to understand how the step-size parameter impacts the performance characteristics of the LMS algorithm in order to use it effectively.
The step-size parameter determines whether the algorithm converges or diverges and how fast. It also determines the steady-state behavior and how fast the algorithm responds to changes in the characteristics of the data. This lesson explores these aspects from an intuitive point of view and provides you with the insight you need to apply LMS.