Hi everyone, I'll be on and answering questions during the premiere. Feel free to drop any questions or comments here in the meantime and I'll try to get to them before then. Cheers!
I really liked the domain map, that was really helpful for seeing how the frequency analysis techniques are connected. Also the z domain animation wrapping around the s domain was crazy. This video was great
I just found out about the Tech Talks with Brian and oh my... I've been BINGINGGGG on these videos. I just finished my EE degree and watching all these videos with amazing clear explanations have been doing wonders in bridging the gaps of my undergrad knowledge. Thank you so much for these gems, Brian! You da goat.
I know z domain but hearing Brian's voice makes me happy😂 I already graduated from my master's but watching his videos reminds me if control theory lectures which were my fav of all.
Thank you Brian for a thought-provoking video. The quirks and physical meaning of each domain (frequency, s, z, discrete frequency) felt like an undervalued topic during my undergrad. I have enjoyed your recent videos on this subject--especially the "map" relating the various domains and your intuitive explanation as to why the z-domain uses polar coordinates. I will be recommending this video to friends who have questions on the z-domain. Looking forward to your next video, and I hope you have a great day.
at last you have made a video on z-plane after z- transform and have given a reference/recommendation of another video also. May ALLAAH give you better reward
Thank you Brian for the great explanation on Z-Domain. I am currently working on Data driven method for nonlinear systems using the Discrete Volterra Series; I didn't catch the relationship between this representation and the Z-Domain. I think now, I have a kind of better understanding. Keep up the good work !!
@ 15:01 *integrator* example is also misleading. Integrator is actually a continuous-time device.... the discrete-time equivalent of integrator is *accumulator* that sums the number of samples... Integrator never takes a discrete-time signal as input, u[k] and gives discrete-time output, y[k] as shown in the video.... it works on continuous-time signals
These videos are amazing. Would it make sense to use the z-transform for system identification and with that build (or tune) a controller? Would be nice too see an example like the one you did with the arduino heater :)
How can the Z transform help identify how different frequencies decay in a signal? What can it tell about a signal and how the frequencies change over time? Thank you!
Thanks for the clarification, my explanation is misleading. I should have just explained that the Z-domain is the discrete-time equivalent of the S-plane. But you are right, that the domain itself is continuous.
Hi everyone, I'll be on and answering questions during the premiere. Feel free to drop any questions or comments here in the meantime and I'll try to get to them before then. Cheers!
Thank you so much for making this video. I learnt all these in my undergrade but nothing has been more clear until I watched your youtube channel.
I really liked the domain map, that was really helpful for seeing how the frequency analysis techniques are connected. Also the z domain animation wrapping around the s domain was crazy. This video was great
I just found out about the Tech Talks with Brian and oh my... I've been BINGINGGGG on these videos. I just finished my EE degree and watching all these videos with amazing clear explanations have been doing wonders in bridging the gaps of my undergrad knowledge. Thank you so much for these gems, Brian! You da goat.
4:00 AMAZING summary/explanation sceme !
I know z domain but hearing Brian's voice makes me happy😂
I already graduated from my master's but watching his videos reminds me if control theory lectures which were my fav of all.
I’m currently studying DSP and this is really helpful. Thank you!
Thank you Brian for a thought-provoking video.
The quirks and physical meaning of each domain (frequency, s, z, discrete frequency) felt like an undervalued topic during my undergrad. I have enjoyed your recent videos on this subject--especially the "map" relating the various domains and your intuitive explanation as to why the z-domain uses polar coordinates.
I will be recommending this video to friends who have questions on the z-domain.
Looking forward to your next video, and I hope you have a great day.
at last you have made a video on z-plane after z- transform and have given a reference/recommendation of another video also. May ALLAAH give you better reward
Thank you Brian for the great explanation on Z-Domain. I am currently working on Data driven method for nonlinear systems using the Discrete Volterra Series; I didn't catch the relationship between this representation and the Z-Domain. I think now, I have a kind of better understanding.
Keep up the good work !!
Hey that was fantastic, can't wait for the digital controller video, thanks 👍🏼
Thanks! A digital controller video would be a good follow up for this.
Thank you sir, i got clarity on z transform
Great to hear 🙌
@ 12:24 impulse response should be discrete not continuous because time domain signal is discrete... that is ZT exists only for discrete-time signals
@ 15:01 *integrator* example is also misleading. Integrator is actually a continuous-time device.... the discrete-time equivalent of integrator is *accumulator* that sums the number of samples...
Integrator never takes a discrete-time signal as input, u[k] and gives discrete-time output, y[k] as shown in the video.... it works on continuous-time signals
THANK you Sir well explained it is going to help me for my Mathematics VI.
Awesome, you are welcome!
Thanks ❤
You're welcome 😊
How does mapping from the s-domain to the z-domain affect the frequency response of a digital filter? Specifically near the Nyquist rate
Plot z,s of the tustin transformation s=(2 (z-1))/((z+1) t_s)
These videos are amazing. Would it make sense to use the z-transform for system identification and with that build (or tune) a controller? Would be nice too see an example like the one you did with the arduino heater :)
Thank you for your suggestion!
How can the Z transform help identify how different frequencies decay in a signal? What can it tell about a signal and how the frequencies change over time? Thank you!
Thanks, i am looking for this type video , got good clarity,
Thanks, very nice animation, do you mind if I use it in my lecture ?
Very helpful, thanks.
Beautiful thanks!
Glad you like it!
yes finally!!
z-domain is not discrete... it is continuous
Thanks for the clarification, my explanation is misleading. I should have just explained that the Z-domain is the discrete-time equivalent of the S-plane. But you are right, that the domain itself is continuous.
RIGHT! DTFT is continuous, while DFT is discrete.