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.
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. ua-cam.com/video/QK7qZAvxNAI/v-deo.html
Many topics of DSP are covered in our playlist. Watch these informative videos and subscribe our channel for more upcoming videos. ua-cam.com/video/4oYTwCIX1pc/v-deo.html
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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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.
It's my 7th sem I'm following from 1st semmm
Yeah this is called electronics
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
Thankyou mam .. love from Bangladesh 🇧🇩
Very good lecture to understand the specific issue clearly.
Thank you.
Your explaination and example understanding is awesome..
Wow!!! You are a great teaching; thanks so much
Thanks madam for ur videos which clears about basics views
Thank you teacher. This was very useful.
Given Question is discrete time domain...but why you put continuous time domain when you are checking linearity????????
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.
ua-cam.com/video/QK7qZAvxNAI/v-deo.html
Thank you Mam Very clear explanation.
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
Mam, you started with y(n) and then changed to y(t). Please avoid combining discrete time signal and continuous time signal.
thanks for pointing out
Thanks for your homespun explanation
So for LTI and LTV we have to satisfy both Linearity and time variance ?
😂😂😂
Invariance h bhai doosre m dekh dhang se
thank you madam ! saved my life ! god bless
Thank you so much ma'am!
Video is short but informative
Tomorrow is my exam.... If I pass then am gone meet you.... And gift you mam 😂....
Did you pass?
Thank you so much !
Good evening mam
Can u tell me what is the input for the output y(n-k)
Thank you very much........
Please explain Different types of interconnection of LTI systems
Subscribe our channel, we will be posting video on this topic soon.
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Thank youuuuuu !!!!!
For example 1, should y(t1)= t1*x(t1)? y(0)=0*x(0)=0, y(1)=x(1), y(2)= 2*x(2)
Do more videos in DSP,you are explaining very good,I'm interested
Many topics of DSP are covered in our playlist. Watch these informative videos and subscribe our channel for more upcoming videos.
ua-cam.com/video/4oYTwCIX1pc/v-deo.html
Well done Madam
Thanks mam
DSP subject videos vunnaya
9:17 system is time invariant
Your teaching is very good but I need Tamil language 😧
mam you say in other video y(n,k)=y(n-k) are variant ... in this video same equation you say they are invarant ?
Good but not visible video
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
Well said miss
Time invarient h
English nhn bol skti to na bolen hindi mn acha prha logi
I think she's south indian
Are yr iski English sun k irritation ho rahi h
Please try to speak properly!
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
Hindi me bol