Digital Filters 101: The ideal low-pass filter (and the real one)
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- Опубліковано 3 жов 2024
- In this video we look at what the ideal low-pass filter looks like, and why we can't implement one in real life. We then look at what a real filter looks like, and what the tradeoffs we have to make are.
Came here from Reddit to say that you made an awesome video! Very to-the-point and clear. Keep up the great work.
Wish you would pump out more videos my dude! These are great
Saw your post on reddit, found a gem youtube channel. Probably gonna watch your other videos too (Z-transform and convolution)
You finally made me understand what I was taught in my signal processing courses a couple years ago! Thank you!!
I am most grateful to this video by showing me the deal with those duplicates in the frequency domain when talking about aliasing. They were never really mentioned throughout the discussions (because we were "always" graphing only up to half the sampling frequency!) and the concept just hit like a truck during the aliasing topic.
Better than my professor :D
Great content, keep it up. Eagerly waiting for next one.
one word....awesome
thank you!
Eagerly waiting for other videos on signal processing
you are better than my college professor
Great explanation
Great video keep up the good work💪🏼
great job mate, thanks!
Great content !!!
Thanks a ton !!
This is a great video but I have one more question: when reconstructing a sampled signal to a continuous one, my understanding is the theory is to just band-limit the signal so the aliased spectral copies are truncated. But if we're dealing with digital filters, which also have aliased copies, how do you make all the spectral copies of the signal zero?
Hi, can u help me with a corsework I need to do.
Please give an intuition on aliasing