Properties of Z-Transform (Part 2)

[@reficeismail6520]

the first channel on youtube which starts from the basics honestly , You are very genius. Sir, pls upload all the lectures in signals and systems 10. Discrete Fourier transform and Fast Fourier transform 11. Digital filters 12. Discrete cosine transform Please accept my sincere appreciation and respect

[@swarnimapalit2411]

How soothing is your voice. How I wish every teacher would be like you. :)

[@shahrukh3531]

Fake accent...

[@kaustuvakumarsahu3933]

@@shahrukh3531 tharki

[@pochinapraveen9096]

Why are you not proving ROC?

[@irfanjames6551]

Who else watches these at 2x Speed??? Great videos BTW

[@viveksingh7388]

The second one for today, thank you really appreciate your work

[@khalidsaif5459]

can you please add the other signal and systems topic in the playlist ?

[@melvirpascual9428]

Amazing lesson.

[@CHANDANKUMAR-xj5qr]

Other teacher is said about scaling property that is, Z transform of a"n[x(n)] is equal to x(z/a).... Plz reply

[@suryakanth5370]

Nice explanation sir

[@KLGANIMEKILLER]

🙄

[@sinaazmoon9424]

thanks

[@rishavraj5932]

Can you please clarify the difference between the Z-scaling and linearity property? Thanks

[@vavilapallisatyavenkatasan6563]

x[n].... x[z] y[n].... y[z] ax[n]....ax[z] and by[n]...by[z], means law of homogeneity being verified. x[n] + y[n]... x[z] +y[z] means law of additivity being verified. So linearity property means verifying both additivity and homogeneity i.e., ax[n] + by[n] ..... ax[z] + by[z] , is the linearity property of Z transform. where as in Z- scaling property, by scaling complex variable Z by 1/a; resulting in a change in discrete time signal x[n] being multiplied with a^(n)u[n].

[@uppey_dhanush442]

How are we getting ROC .?

[@aniketkumarsinha5325]

play at 3x for comfort