Linear Time Variant & Linear Time Invariant Systems

[@TutorialsPoint_]

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[@AkashKrCh]

The way you are teaching is just awesome..and all my doubts and concepts are getting clear from Basics to higher level in very easy manner.Thank you so much for sharing your knowledge with us.

[@kirankumarreddymittapalli0908]

It's my 7th sem I'm following from 1st semmm

[@fantastic1046]

Yeah this is called electronics

[@theodorathobejane7231]

Morning mam im enjoying yo lecturing if a found difficulties i am 1st looking for your videos because i understand better thanks very much mam

[@sajjadhossain7460]

Thankyou mam .. love from Bangladesh 🇧🇩

[@lusinetalawally7611]

Wow!!! You are a great teaching; thanks so much

[@parvathyr134]

Mam, you started with y(n) and then changed to y(t). Please avoid combining discrete time signal and continuous time signal.

[@Tilaksakala]

thanks for pointing out

[@anikchowdhury4959]

Very good lecture to understand the specific issue clearly. Thank you.

[@tech-in-life4876]

Your explaination and example understanding is awesome..

[@paavendhan87]

Thanks madam for ur videos which clears about basics views

[@GauravGupta-pb8mk]

Thank you Mam Very clear explanation.

[@abrb_21]

Thanks for your homespun explanation

[@rebeccarashmi3254]

Thank you teacher. This was very useful.

[@studyelectrictech1236]

Well done madam, this is my third question you are helping me to go through my exam. i wish i will get your contact to gain more from you

[@mithileshvannela8366]

Tomorrow is my exam.... If I pass then am gone meet you.... And gift you mam 😂....

[@dineshmondal9102]

Did you pass?

[@Jaya.M78]

Thank you so much ma'am!

[@developerboy7172]

Given Question is discrete time domain...but why you put continuous time domain when you are checking linearity????????

[@MuhammadZeeshan-yg3ky]

Hi dear, linearity property can also be checked in continuous domain also. Watch the following video for understanding linearity property in continuous domain. And don't forget to subscribe our channel. kzbin.info/www/bejne/h3yaoo13q92Bd6s

[@parnikasmusic]

Video is short but informative

[@siddharthchandnani263]

thank you madam ! saved my life ! god bless

[@AMITKUMAR-ml6tl]

Thanks mam

[@elaheataei7805]

Thank youuuuuu !!!!!

[@eladbasli9616]

Thank you so much !

[@ayushsoni8509]

So for LTI and LTV we have to satisfy both Linearity and time variance ?

[@charle1208]

😂😂😂

[@charle1208]

Invariance h bhai doosre m dekh dhang se

[@shobhitsingh8695]

9:17 system is time invariant

[@gouravdamor8001]

Thank you very much........

[@kewang9774]

For example 1, should y(t1)= t1*x(t1)? y(0)=0*x(0)=0, y(1)=x(1), y(2)= 2*x(2)

[@srikanthchinna675]

Do more videos in DSP,you are explaining very good,I'm interested

[@MuhammadZeeshan-yg3ky]

Many topics of DSP are covered in our playlist. Watch these informative videos and subscribe our channel for more upcoming videos. kzbin.info/www/bejne/aqC8hap5fr1kpsU

[@ee_made_easy]

Well done Madam

[@vijaycyclone116]

Please explain Different types of interconnection of LTI systems

[@MuhammadZeeshan-yg3ky]

Subscribe our channel, we will be posting video on this topic soon. kzbin.info/door/mbUJWHul7r2StLe5lvoUhQ

[@venkatboddepalli6571]

Good evening mam Can u tell me what is the input for the output y(n-k)

[@saranyamathi3634]

Your teaching is very good but I need Tamil language 😧

[@mdaadilhussain8454]

Good but not visible video

[@l413srilatha6]

DSP subject videos vunnaya

[@Engr_Production006]

mam you say in other video y(n,k)=y(n-k) are variant ... in this video same equation you say they are invarant ?

[@malikashrestha3993]

your is teaching is good for exam point of viewa, very bad for knowledge, try giving some insight as well. Focus on why rather than what

[@ramprakash8420]

Well said miss

[@DeviL-yw6ud]

Time invarient h

[@faisalhamman4548]

BULLSHIT Consider the system y(t) = x(2t). (1.120) This system represents a time scaling. That is, y(t) is a time-compressed (by a factor of 2) version of x(t). Intuitively, then, any time shift in the input will also be compressed by a factor of 2, and it is for this reason that the system is not time invariant. To demonstrate this by counterexample, consider the input x1 (t) shown in Figure 1.47(a) and the resulting output y1 (t) depicted in Figure 1.47(b). If we then shift the input by 2-i.e., consider x2(t) = x1 (t- 2), as shown in Figure 1.47(c)-we obtain the resulting output

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I think she's south indian

[@saranshkumar4522]

Are yr iski English sun k irritation ho rahi h

[@rahulsinha4014]

Please try to speak properly!

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Hindi me bol