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Anti-Alisaing Filter - Brain Waves.avi 

purdueMET
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Anti-Aliasing filters must be pretty important, since most data acquisition systems have them. But, what are they? How do they work? It turns out that they are pretty simple and easy to make if you need to.

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9 ноя 2011

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Комментарии : 37   
@KiraPlaysGuitar
@KiraPlaysGuitar 11 лет назад
That's a beautiful drawing of a sine wave.
@Kaldurahm1
@Kaldurahm1 11 лет назад
I hope you really understand how great a public service you provide with a channel like this. Thank you.
@sunnyboy866
@sunnyboy866 5 лет назад
I have to thank you for making me clearly understand this simple concept for the very first time
@xnlpLUKAS
@xnlpLUKAS 6 лет назад
Excellent explanation. Better than most of the attempts of my local professors. Thank you : )
@antadefector
@antadefector 12 лет назад
Please correct me if i'm wrong. The result at 12:40 should read ~ 4 nF = 0,004 uF If i'm wrong, please just delete comment... Best regards
@zeRandomName
@zeRandomName 8 лет назад
Very informative I liked a lot, but you actualy made a little mistake in a hurry I guess. 3.9*10^-9 supposed to be ~4nano farads.
@dsmith5167
@dsmith5167 7 лет назад
Best (most simple) explanation I have seen. Kudos to you.
@purdueMET
@purdueMET 7 лет назад
Thanks :-)
@tombstone3echo
@tombstone3echo 3 года назад
I dont know if you read this, but great video! Thanks a lot. Good explanation in a really dry subject, at least if you are a beginner.
@purdueMET
@purdueMET 3 года назад
Thanks :-)
@waqarhaq5280
@waqarhaq5280 4 года назад
you cannot exactly sample at 2f rate, because its Nyquist frequency. data will be lost
@agstechnicalsupport
@agstechnicalsupport Год назад
Very nice and instructive video. Thank you ! Just one small mistake due to hurry, result should be 4 nanofarad instead of 4 picofarad
@Nexow96
@Nexow96 2 года назад
Absolute stunning explanation!
@Tunatunatun
@Tunatunatun 11 лет назад
Very well presented and explained. Although the filter commits to the requirements, it's not complying to basic rules of design. When designing various parts you should give the most expensive component a fixed commercially available value, then design the rest to fit as much as possible under more commercially available components. In this case, you should have picked the capacitor first, then calculate the resistor. It's easier to find many resistors than capacitor values on real life design.
@derejehailemariam677
@derejehailemariam677 5 лет назад
Dude you are really good. Natural teacher!! Thanks!!
@andreymarinov4410
@andreymarinov4410 6 лет назад
Well done. Nice and super efficient movie
@sdfzhy61
@sdfzhy61 10 лет назад
omg thank you so much this is the first time this stuff's made sense to me D:
@MariaMartin140
@MariaMartin140 2 года назад
Perfect !
@purdueMET
@purdueMET 2 года назад
Thanks :-)
@jacobvandijk6525
@jacobvandijk6525 2 года назад
"Fewest number of samples per cycle is two". But how do you know you're sampling the peak and the trough?
@purdueMET
@purdueMET 2 года назад
You don't. The fewest possible number of cycles is two, but that's the ideal case. In practice, you need more than two. All the data acquisition systems I've used sample at more than 2x the maximum frequency. I think the Agilent (used to be HP) system sampled at 2.56x.
@jacobvandijk6525
@jacobvandijk6525 2 года назад
@@purdueMET Okay, thanks!
@user-vg7ki8ze1w
@user-vg7ki8ze1w Год назад
Something was wrong in your video. Sampling frequency should be larger than double of maximum frequency not equal.
@JMGP95
@JMGP95 9 лет назад
If fs=10kHz and the input signal has fmax=5kHz, then the cutoff frec. cannot be less than 5kHz, because then you 'filter' the 5kHz signal. An anti-aliasing filter tries to delete the high frec. signals in order to allow the computer read the signal we want. It is usually used in AD Converters. Anyway, fs is usually 10-20 times higher than the signal frec. and also 10 times higher than the cutoff frec. Sorry for the English... ;)
@jacobvandijk6525
@jacobvandijk6525 2 года назад
In MRI the signal-frequency can be 64 MHz and the sampling-frequency is 1.024 samples/sec. (or less). That's a ratio of 1/64.000. How can that be???
@mazinariqat7942
@mazinariqat7942 2 года назад
Good lecture. 4 nf not pf.
@03062nam
@03062nam 12 лет назад
great explanation
@stefanhoelzl
@stefanhoelzl 6 лет назад
super video would you also try to explain reconstruction filters?
@LinfengLee
@LinfengLee 11 лет назад
Very Informative
@animeshsadhukhan7174
@animeshsadhukhan7174 9 лет назад
thank you sir...such a great video..
@AngelGdo
@AngelGdo 9 лет назад
Great video
@VolatilityCowboy
@VolatilityCowboy 12 лет назад
Thank you :)
@initsownjuices8034
@initsownjuices8034 3 года назад
Simple
@fikret8422
@fikret8422 5 лет назад
Thanks a lot
@bkw20
@bkw20 11 лет назад
You are right ;)
@heretikmusic7054
@heretikmusic7054 5 лет назад
I like this, but you really look like adam sandler, and should capitalize on that,
@Bau1515
@Bau1515 3 года назад
hmn
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