Properties of Fourier Transform (CTFT /FT ) - Proof

In this video I have tried to prove all the properties of continuous time Fourier transform .

[@ozzyfromspace]

This is easily the best video on micro-proofs for CTFT on the internet. Short, clear, and concise. I see the transform being really useful for pde's and such..... Again, well done! #Subscribed btw.

[@sreeraghuramgvna8876]

please lock the lens exposure so that there will not be lens adjustment repeatedly. Thank you, your work is great.

[@techjunkiejdb5476]

Sree Raghuram G V N Athank you . I'll take care 😊

[@malavikadborkar6209]

great explanation 👌 even a non EC background student like me can understand the topic ✌✌

[@SAISRIVIDYA66]

Seriously speaking sir. U had done amazing job. Bcz of u I g Had a good grip in concepts what u taught. Just keep rocking sir. Tq

[@basavaarajganachari6089]

Awesome explanation with clear understanding of Property✌🏻helps me a lot!!!!!!✌🏻 thank u

[@techjunkiejdb5476]

Aryan Ganachar thanks

[@annnileenahenry9318]

Very Informative GOOD going sir ☺😊

[@Devruu_18]

Good teaching ... Easily can understand this teaching .. 5 ⭐ out of 5

[@techjunkiejdb5476]

Thanks buddy

[@sreenathak6355]

Sir in frequency shift property in rhs as per i have studied it should be X(jw+B). its also given in my textbook. But in this lucture you wrote it as X(j(w+B)). Whcih is the correct one

[@techjunkiejdb5476]

It’s X(j(w-b)) . This is the right one if multiplied by positive exponential

[@sreenathak6355]

@@techjunkiejdb5476 what if we write e^(at) what would be rhs would it be 1/jw+a right If e^(jwat) then rhs would be 1/j(w-wa) right

[@techjunkiejdb5476]

@@sreenathak6355 the frequency shift works with real power of exponential . Not with imaginary power of exponential

[@sreenathak6355]

@@techjunkiejdb5476 Sir but in the lecture you had written e^(jBt) that's imaginary power

[@techjunkiejdb5476]

@@sreenathak6355 yes ! Sorry my bad . I got confused . Yes imaginary positive power will lead to difference in frequency domain

[@sonalipawar847]

Thank U so much Sir ...Understood all properties clearly ...

[@techjunkiejdb5476]

Sonali Pawar thank you :)

[@madhunika1992]

It's very nice explanation. I need some clarity in time scaling, shifting, amplitude scaling, shifting please explain with diagram

[@akshathanayak7954]

properties are very clear :)

[@SURAJPATEL-oj1tu]

😧 fir sikhado merko bhi

[@akashojha5361]

Great explanation

[@techjunkiejdb5476]

Thanks

[@alianadhiramustafa5706]

0:12 Linearity 3:44 Time shift 11:28 Scaling

[@maryamali3362]

Great Explanation! Can I use this proof for CSFT? since they are both FT

[@techjunkiejdb5476]

Yes

[@anandk8328]

dude you are fuckin awesome, keep doing videos like these, i am from diploma in 3rd year. ECE

[@techjunkiejdb5476]

Thanks 😊

[@vinayakabharadwaj4173]

great explanation...very simple and easily understandable ....... btw do you have a window on the right side of ur board

[@techjunkiejdb5476]

Vinayaka Bharadwaj no windows

[@vinayakabharadwaj4173]

@@techjunkiejdb5476 i thought so cuz of the sound

[@techjunkiejdb5476]

Vinayaka Bharadwaj oh yeah . It’s there 😂 I was talking abt OS as windows 🤣

[@vinayakabharadwaj4173]

@@techjunkiejdb5476 lol

[@sanjaykumarh840]

Great work! Understood everything.

[@dr.hymalakshmitirumani1724]

Excellent expalantion

[@vaishnavishetty6236]

good one

[@pushkarwani6099]

Thank you sir!!!

[@Technocracy828]

Excelent proofs!

[@techjunkiejdb5476]

Thanks

[@sharanyavinoth4631]

Nice one

[@ARI-mi3hd]

love you so much thank you

[@techjunkiejdb5476]

Welcome 🤗

[@nicholasscholten6063]

awesome! this was super helpful!

[@techjunkiejdb5476]

Thanks

[@androidwithsk]

Super bro

[@techjunkiejdb5476]

Thanks 😊

[@charanteja2653]

Awesome

[@surajprasad9714]

Thanks bro

[@vickyrock4108]

Tq broo

[@khajimasthan386]

Plz do problems of JNTUA previous papers.....

[@techjunkiejdb5476]

Mastanbasha Khaji I don't have papers

[@ankushnaruka5395]

❤🙌

[@priyanshitiwari8733]

Frequency Differentiation you did wrong sir means not -jt it's jW check it

[@techjunkiejdb5476]

No it's -jt x(t) in time domain and differentiation in frequency domain.

[@techjunkiejdb5476]

No it's -jt x(t) in time domain and differentiation in frequency domain.