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Learn · Simulation Of Communication Systems Using Matlab

Lecture 32 of 64Week 5: Random Processes

Lec 32: Signals and Noise

Prof. Ribhu · IIT Guwahati

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From
Simulation Of Communication Systems Using Matlab, IIT Guwahati (at NPTEL)
Licence
CC BY-NC-SA, as NPTEL states it. Non-commercial use only.
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NPTEL states: "Distributed under Creative Commons Attribution-ShareAlike / CC BY - NC - SA", beside a BY-NC-SA badge.
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All the lectures

  1. Lec :1 Introduction YouTube
  2. Lec 2: Basics of MATLAB YouTube
  3. Lec 3: Data Types YouTube
  4. Lec 4: Floating Point Numbers YouTube
  5. Lec 5: Scripts and Flow of Control YouTube
  6. Lec 6: The For Loop YouTube
  7. Lec 7: Arrays YouTube
  8. Lec 8: Indexing YouTube
  9. Lec 9: Some Results from Linear Algebra YouTube
  10. Lec 10: Matrix Multiplication YouTube
  11. Lec 11: Eigenvalues and Eigenvectors YouTube
  12. Lec 12: Complex Numbers YouTube
  13. Lec 13: Hermitian Matrices YouTube
  14. Lec 14: Matrix Inversion YouTube
  15. Lec 15: Signals YouTube
  16. Lec 16: Convolution YouTube
  17. Lec 17: Probability YouTube
  18. Lec 18: Bayes Theorem YouTube
  19. Lec 19: Random Varibles YouTube
  20. Lec 20: Clinical Trials I YouTube
  21. Lec 21: Clinical Trials II YouTube
  22. Lec 22: Random Numbers YouTube
  23. Lec 23: Random Disttributions YouTube
  24. Lec 24: Histograms YouTube
  25. Lec 25: Histograms II YouTube
  26. Lec 26: Functions of Random Variables YouTube
  27. Lec 27: Generating Random Disttributions YouTube
  28. Lec 28: Laws of Large numbers YouTube
  29. Lec 29: Random Processes YouTube
  30. Lec 30: Properties of Random Processes YouTube
  31. Lec 31: Power Spectra YouTube
  32. Lec 32: Signals and Noise YouTube
  33. Lec 33: Stochastic Models YouTube
  34. Lec 34: The AR-1 Process YouTube
  35. Lec 35: Stochastic Models II YouTube
  36. Lec 36: Yule Walker Equations YouTube
  37. Lec 37: Markov Chains I YouTube
  38. Lec 38: Markov Chains II YouTube
  39. Lec 39: Markov Chains III YouTube
  40. Lec 40: Analog to Digital Coversion YouTube
  41. Lec 41: K Means YouTube
  42. Lec 42: Correlation YouTube
  43. Lec 43: Predictive Coding YouTube
  44. Lec 44: Image Compression YouTube
  45. Lec 45: Transform Domain Compression YouTube
  46. Lec 46: Multi Resolution Coding YouTube
  47. Lec 47: Introduction to Communications YouTube
  48. Lec 48: Low Pass and BandPass Signals YouTube
  49. Lec 49: Signal Spaces YouTube
  50. Lec 50: PAM YouTube
  51. Lec 51: Detection YouTube
  52. Lec 52: Effects of AWGN YouTube
  53. Lec 53: ML Detection YouTube
  54. Lec 54: ML Detection II YouTube
  55. Lec 55: The Union Bound YouTube
  56. Lec 56: Symbol Error Rates YouTube
  57. Lec 57: Choosing Constellations YouTube
  58. Lec 58: Orthogonal Signalling YouTube
  59. Lec 59: Non-Coherent Dection 1 YouTube
  60. Lec 60: Non-Coherent Detection 2 YouTube
  61. Lec 61: DPSK YouTube
  62. Lec 62: DPSK II YouTube
  63. Lec 63: Introduction to Wireless Communications YouTube
  64. Lec 64: Conclusion YouTube