Adaptive filter

An adaptive filter is like a teacher that learns to correct your mistakes as you learn.

Imagine you are learning to spell words. At first, your teacher tells you how to spell each word and corrects you when you make a mistake. But over time, you start to make fewer mistakes and your teacher starts to let you spell alone.

However, if you make a mistake, your teacher corrects you again so you can learn from it. This is similar to how an adaptive filter works.

It is a computer program that adjusts and corrects itself over time based on the feedback it receives. So, when it encounters an error, it changes its operations to improve its output the next time around.

This continual self-adjustment makes adaptive filters a powerful tool in many applications such as noise reduction or signal processing.

So, just like your teacher who helped you become a better speller, an adaptive filter helps improve the accuracy and performance of computer systems, making them better at their specific tasks.