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ECE4450 L23: Second-Order Filters: Mathematical Structure (Analog Circuits for Music Synthesis) 

Lantertronics - Aaron Lanterman
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28 сен 2024

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Комментарии : 8   
@petegreenwood2793
@petegreenwood2793 3 года назад
Great presentation, lovely insights!
@anoimo9013
@anoimo9013 Год назад
amazing insight and easy going explanatioin
@Vahe.Caliskan
@Vahe.Caliskan 3 года назад
Thanks for the great lecture with many physical insights related to second order systems. The distinction of omega_n, omega_r and omega_d is often not mentioned so it was refreshing to see it highlighted. I noticed that at around 25:05, the sqrt(2) that is marked on the vertical axis should be sqrt(2)/2 or 1/sqrt(2).
@fixfaxerify
@fixfaxerify 6 месяцев назад
15:00 .. should it be zeta less than 0.707 here?
@possible-realities
@possible-realities 3 года назад
Very nice rundown of second order filter characteristics! It's definitely musically useful that the bandwidth of the resonance peak widens in proportion to the natural frequency, but I think it's also very natural: The Q parameter controls the shape of the frequency response, while the natural frequency just changes the frequency scale, or equivalently, the time scale, making the whole filter faster or slower. So I guess that it is this process of time scale change that corresponds very naturally to our logarithmic perception of frequency.
@TheSlowGrowth
@TheSlowGrowth 3 года назад
Brilliantly done! Thank you! I also had assumed that the ripples on the oscilloscope correspond to the peak in the transfer function. Very interesting to learn that that's not actually correct!
@woosix7735
@woosix7735 Год назад
my math teacher would have a heart attack if he saw you using the square root like that on a potentially negative number haha
@Lantertronics
@Lantertronics Год назад
Imaginary numbers are perfectly happy numbers... expect of course for when they don't make sense. ;)
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