DT Signals-Real Sinusoids

Introduces discrete-time sinusoidal (sine and cosine) signals.
This video was created to support EGR 433:Transforms & Systems Modeling at Arizona State University. Links to other videos can be found at www.engineering... and sites.google.co...
This video is made available under the Creative Commons BY-SA license.

[@Rohanmk]

Thank you so much. Your videos are great!!!!!!!!

[@abdullahmohammad5613]

"Since the values repeat every 8 samples, N = 8"
That's probably how he got the "N = 8"

[@PedramNG]

Wow nice ... actually he is explaining Nyquist rate sampling

[@PedramNG]

Thank u kind sir 😁

[@FungSit]

Thank you. It's very helpful!

[@dddlllia]

thank you so much

[@hansi98]

in 10:33 you say that omega =0.8 is not periodic, is that because you can not get a multiple of pi out of 0.8 because pi isnt a rational number like 8/10? Otherwise it had to repeat at some point...
Your videos are great

[@jonny2575]

Hey Darryl Morrell at 9:39 you give the definition x[n+N] = x[n] at around 10:02 you say "there will never be exactly the same value 'here' repeating every 'n/N' samples no matter what value I choose for 'n/N' " Are you refering to small n or big N? Does the Big N act like padding so you are able to model something more periodic? Thanx

[@innoirvinge8431]

How did you get N = 8? (around 9:50)

[@cyprianespinoza8146]

x(n+N)=x(n) (periodicity)
=> x(n)=cos(w*n)
=>x(n+N)=cos(w*n+w*N)=cos(w*n)
w*N=2pi ( cos(a+2k*pi)=cos(a))
Here, w=pi/4 => w*N=pi*N/4
=>N=2pi/(pi*N/4)=8

[@PedramNG]

Wow nice ... actually he is explaining Nyquist rate sampling