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Machine learning and adaptive filter

Devin92
By Devin92
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Hello LTT members,

 

I have a pretty academical question that I cant actually find answer elsewhere other than reading a 300-400 page book, so I am hoping some one in the community can help me figure this out.

 

My question is what is the difference between machine learning and adaptive filter in DSP (digital signal processing)? As my understanding, both optimize itself over and over. the more you train the system the better its performance. For example: alpha go has to be trained for a very long time so it can beat human, and the noise cancellation filter in our smartphone is a adaptive filter that also performance better after repeated use. Now what is the actual difference between the two then? is it same concept with fancy name or some totally different design concept but with similar outcome?

 

Thanks!

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