2. Signals & their Transportation

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  • เผยแพร่เมื่อ 4 ต.ค. 2024
  • Video Lecture Series by IIT professors (Not Available in NPTEL)
    Video Lectures on "Signals and Systems" by Prof. S.C. Dutta Roy Sir
    For more Video Lectures...... www.satishkashyap.com
    For free ebooks ...... www.ebook29.blogspot.com
    1. Introduction to the Course and Basic Concepts
    2. Signals & their Transportation
    3. Elementary Signals in the Discrete Time Domain
    4. Characterisation of Signals
    5. Basic concepts of Linear Time Systems
    6. Convolution Invertibility, & Stability Causality
    7. Stability Unit, Step Response and Differential Equations
    8. Systems Described by Differential & Difference Equations
    9. Fourier & His Series
    10. More About Fourier Series (With Uncomfortable Questions)
    11. Those Uncomfortable Questions about the Existence of Fourier & Series and Some More
    12. Introduction to Fourier Transform
    13. Fourier Transform of Periodic Function & Fourier Transform Properties
    14. More Properties of Fourier Transformation
    15. Anatomy of a Class Test & a Continued Look at the Properties of F.T.
    16. Modulation, Convolutions and Other Interesting Properties of F.T.
    17. A Deeper Look at the Modulation Property of F.T.
    18. Fourier Analysis of Discrete Time Signals & Systems - The Beginning
    19. More About Fourier Transform of Discrete Time Signals
    20. Further Look into the Properties of DTFT
    21. Convolution, Modulation & Other Properties of DTFT
    22. Farewell to Discrete Time Fourier Transform & Introduction to Sampling
    23. More About Sampling
    24. Introduction to Laplace Transform
    25. Region of Convergence of Laplace Transform & Properties of Laplace Transform
    26. Properties of Laplace Transform (Contd.)
    27. Concluding Discission on Laplace Transform
    28. Introduction to Z Transform
    29. Properties of Z Transform
    30. Further Discussion on Properties of Z Transform
    31. Solution to Class Test - 2, Concluding Discussion on Z Transform
    32. Introduction to Random Signals & Probability
    33. Probability Functions
    34. Solutions to Minor Z Problems & more about PDF & pdf
    35. More About PDF'S & pdf's
    36. Classification of Random Processes & Introduction to Correlation Functions.
    37. More About Correction Functions
    38. Cross Correlation Function and their Properties
    39. Introduction to Spectral Density
    40. More About Spectral Density
    41. Response of Linear System to Random Inputs
    42. Frequency Domain Analysis of LTI Systems Excited by Random Inputs

ความคิดเห็น • 44

  • @olgael7680
    @olgael7680 9 ปีที่แล้ว +34

    wow i thought my teacher s the best but this professor is doing more better , Respect from Europe . Keep the good job up !

    • @Avraham.Eisenberg
      @Avraham.Eisenberg 9 ปีที่แล้ว +3

      olga el Right now im trying to figure out if i should watch this serie or the MIT OCW, i dont know which one I should watch. I've seen your comment on both of the lectures what would you recommend assuming you have some insight in both of them.

    • @olgael7680
      @olgael7680 9 ปีที่แล้ว +3

      itsdtx it depends on the book you are using but i prefer this lectures than the MIT one!!

    • @Avraham.Eisenberg
      @Avraham.Eisenberg 9 ปีที่แล้ว +1

      ***** I cant thank you enough for the summary you just gave me. Unfortunately I have to reread my course again because our campus has made some big changes in the courses, everything is different now. Anyway this will be of big help I wish more people were more like you

    • @patherpanchali
      @patherpanchali 4 ปีที่แล้ว +1

      @@olgael7680 They use the same book, Oppenheim

    • @saravanapriyans5827
      @saravanapriyans5827 3 ปีที่แล้ว

      can you explain 4.44

  • @jitendrasinghbhadoriya153
    @jitendrasinghbhadoriya153 7 ปีที่แล้ว +5

    if u want to see the god in signal & system ....here's it....watch & listen carefully every bit of this superb lecture .....
    well said "for engineers, anything that works is well enough"...that's why the differentiation of step signal is impulse signal....mathematically it is not possible due to discontinuity of step signal .....hats off ....

  • @rgseven6557
    @rgseven6557 7 ปีที่แล้ว +3

    I am so grateful to the person who uploaded this video. Prof. Dutta explained the concepts so well. I am a final year aerospace engineering student who is struggling with this course. Seriously, I wished I had watched your videos way earlier. Sincere thanks to the uploader. Best Regards from Singapore.

  • @jsran7471
    @jsran7471 9 ปีที่แล้ว +9

    You are amazing, Professor. Admiring your work from Canada!

  • @suman2449
    @suman2449 8 ปีที่แล้ว +10

    Title is signals and their transformation not transportation

  • @dhimanroy1671
    @dhimanroy1671 7 ปีที่แล้ว

    Sir you are awesome. Unalloyed respect to you sir. You dedication is beyond description. I am also an Electrical Engineering student. Your easy explanations are clearing my concept on signal analysis.

  • @styno2010
    @styno2010 9 ปีที่แล้ว +4

    Excellent...You are the best. Thanks

  • @dhaneshbarman6833
    @dhaneshbarman6833 10 ปีที่แล้ว +1

    why i didnt know such videos are available in my B.E course.....so nice explaination....thank you very much

  • @nandagopalnaskar2452
    @nandagopalnaskar2452 6 ปีที่แล้ว

    Calm composed knowledge
    You Sir, truly are a gem.

  • @sauravsinghsuryavanshi2344
    @sauravsinghsuryavanshi2344 8 ปีที่แล้ว

    This video is very educational and easy to understand, thank you

  • @ankitanand695
    @ankitanand695 8 ปีที่แล้ว

    very easy way to make understand.thank you sir for ur work

  • @KanitaKhaled5
    @KanitaKhaled5 11 ปีที่แล้ว +1

    great video, thanks from Canada

  • @Murthy-o2o
    @Murthy-o2o 11 ปีที่แล้ว

    Very well taught and well explained.

  • @HammadAljeddani
    @HammadAljeddani 11 ปีที่แล้ว +1

    Amazing Thank You

  • @PankajSingh-dc2qp
    @PankajSingh-dc2qp หลายเดือนก่อน

    9:53 Classification of Signals

  • @bishaldalui
    @bishaldalui 8 ปีที่แล้ว

    totaly clear concept

  • @mramplitude
    @mramplitude 12 ปีที่แล้ว +2

    its Signals & Transformation...:)

  • @shaybansawan5560
    @shaybansawan5560 10 ปีที่แล้ว

    Brilliant!!!

  • @omerrasimknacstudent5049
    @omerrasimknacstudent5049 5 ปีที่แล้ว

    How a signal can be always divided into an even part and an odd part?

  • @nextgenindia09
    @nextgenindia09 11 ปีที่แล้ว

    Yes, I am in same situation. Try Khan Academy video lectures. I found them very good for learning the basics.

  • @Rahul-yb4lr
    @Rahul-yb4lr 5 ปีที่แล้ว

    Thanks sir

  • @PRAD61
    @PRAD61 11 ปีที่แล้ว

    Thanks

  • @sanketpatil2969
    @sanketpatil2969 5 ปีที่แล้ว

    It's Signal and Their Transformation, not Transportation.

  • @prithvirbk02
    @prithvirbk02 7 ปีที่แล้ว

    professor was saying about tutorials..that he will solve problems..but
    can any one say where is the tutorials video for this signals and
    systems..? pls help

  • @nikhilchandrareddy3305
    @nikhilchandrareddy3305 9 ปีที่แล้ว

    can you tell me sir
    what does -t (negative of time ) means or tells about

    • @shreyakujur3750
      @shreyakujur3750 8 ปีที่แล้ว

      yes ,please someone clear it...what does it actually mean?

    • @PhaniRaghavLolla
      @PhaniRaghavLolla 8 ปีที่แล้ว +1

      negative time is practically impossible, but it is used as time reversal operation on signals for the analysis and synthesis purposes. Best example is, 'Rewind" button in a taperecorder. We could actually rewind and play the same data again. . .it is said to be a time reversal.
      Time Scaling
      Time Shifting
      Time Reversal and
      Amplitude Scaling are the 4 basics operations which we do in both continuous and discrete domain.

    • @dgsspkumar302
      @dgsspkumar302 6 ปีที่แล้ว +2

      Simple... its not negative of time. but its time that has already been elapsed. and you are representing it with respect to the present time. so lets say now the time is t=0. the time one second ago is represented as -1 second. its not actually -1 second. but its with respect to the present time t=0.

  • @tusharrohilla7154
    @tusharrohilla7154 6 ปีที่แล้ว

    Area under k delta t will be =1or k?

  • @alishersaparov8098
    @alishersaparov8098 11 ปีที่แล้ว

    thanks for this videos,
    but but im weak in mathematics, could anybody math lectures (playlist) related to this videos, thanx

  • @awaisumar5125
    @awaisumar5125 9 ปีที่แล้ว

    I am always confused in shifting and scaling...if he is shifting to the positive side,why does he write x(t-T) and why not x(t+T).
    and same is the case of scaling x(2t) should means of expansion not squeezing.
    could any body help me in this confusion.
    for the time being i have just memorized but i am not clear in this concept

    • @SoumyadeepDas_tubai
      @SoumyadeepDas_tubai 8 ปีที่แล้ว +6

      +awais umar see, I suggest you just change slightly the way you are looking just for the sake of understanding. Please don't use this logic in exam papers. If x(t) be the function, when you consider x(t-T) that means all the t in the equation will be replaced by t-T. Now consider when we shift in the positive side a particular point in the graph, say 't' has a certain value 'A' along x axis. Now after shifting towards the positive side by 'T' amount, the point 't' will contain the value 'A+T'. so which point of this new graph will have an x axis value of 'A'? Certainly the 't-T' point. Hence as we shift the signal or the graph in positive frame it incurs DELAY. That means 't-T'.
      Similarly let x(t)=x(A) be the first function. So when we write a function x(2t)= x(A), then we obviously get x(t)=x(A/2). Hence it compressing. x(t)=X(A) is broader than x(2t)=x(A)
      => x(t)=x(A/2)
      Another approach for scalling: Now again consider x(t)=t for simplification. Hence x(2t)=2t. If you know the equation of straight line you can easily find that the slope that means tan(theta) of the second one is higher than the previous one. Hence the line will be steeper. And at t=0 it hold the equality for both x(t) and x(2t). So x(2t) is compression.. and not expanding.
      I JUST TRIED TO EASE OUT SOME CONFUSION THAT YOU HAVE. HOPE IT HELPS YOU. HAVE A GOOD DAY.

    • @kaustavbhattacharjee224
      @kaustavbhattacharjee224 7 ปีที่แล้ว +1

      When I am shifting the signal x(t) to the positive side then x(t) becomes x(t-T) and when I am shifting x(t) in the negative side then x(t) becomes x(t-(-t))=x(t+T).Please tell me weather you understand or not

    • @ankittiwari2214
      @ankittiwari2214 6 ปีที่แล้ว

      x(t-T) means we are subtracting T from the time axis t....and that's why signal shift towards right side or positive side of the t-axis. .

  • @engineeringknowledge383
    @engineeringknowledge383 2 ปีที่แล้ว

    Please visit the following link to view operation on Convolution Operation: th-cam.com/video/xwPDiq_4MkU/w-d-xo.html

  • @karimkhan1312
    @karimkhan1312 11 ปีที่แล้ว

    SIR , I BELIEVE MANY STUDENTS HEAR YOUR LECTURE-- HENCE YOUR CHANNEL IS OVER LOADED -- HENCE SOME TIMES IT IS DIFFICULT TO SEE / HEAR YOUR LECTURE
    AMARJEET ADVOCATE DELHI HIGH COURT

  • @PankajSingh-dc2qp
    @PankajSingh-dc2qp 4 ปีที่แล้ว

    Transportation nai *Transformation*

  • @exia78
    @exia78 12 ปีที่แล้ว

    Thanks