How to evaluate the advantages and disadvantages of adaptive filtering algorithm

The advantages and disadvantages of adaptive filtering algorithm are evaluated, such as fast convergence speed, low steady-state error, low computational complexity and strong tracking ability.

1. Adaptive filtering algorithm, as an important part of adaptive filter, directly determines the filtering performance.

2. Adaptive filtering is the best filtering method developed in recent years. It is an optimal filtering method developed on the basis of linear filtering such as Wiener filtering and Kalman filtering.

3. Because the adaptability is stronger, the filtering performance is better. So it has been widely used in engineering practice, especially in information processing technology.