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When you create an adaptive filter, you must specify a value for the adaptive filter length. The filter length affects the computational resource requirements, convergence speed, and steady state error of the resulting adaptive filter.
Take the following guidelines into consideration when you specify the filter length for an adaptive filter.
In the previous figure, when the filter length is 20, the adaptive filter becomes steady after approximately 800 iterations. The steady state error is approximately 0.002. When you increase the filter length to 30, the steady state error becomes smaller, but the adaptive filter takes more time to converge. When you increase the filter length to 300, the steady state error becomes larger instead of becoming smaller, which indicates that the filter length is too large. The convergence of this adaptive filter also is slow. In this situation, reduce the filter length to reduce the steady state error and improve the convergence speed.