# Simulation Of Communication Systems Using Matlab

- Institution: IIT Guwahati
- Department: Electrical Engineering
- Teacher: Prof. Ribhu
- Level: Undergraduate
- Language: English
- Subjects: Engineering
- Source: [NPTEL](https://nptel.ac.in/courses/108103191)
- Licence: [CC BY-NC-SA](https://nptel.ac.in/faq) (Non-commercial use only.)
- Syllabus: [at the source](https://nptel.ac.in/courses/108103191)
- Who can watch: Tweens profiles and older (sources give no ratings; placed by Invisible Network from the source's own words)

This is course is meant to introduce students to the idea of modelling and simulation of communication systems exhibiting while highlighting the underlying stochastic behavior of these systems. The key objectives of this course are twofold:

1.To introduce the importance of Monte Carlo methods for analyzing the behavior of communication systems.

2. To encourage students to model and analyze stochastic systems around them.

By the end of this course, the students will be able to confidently program in MATLAB and develop programming models for simulating communication systems.

Intended audience: Undergraduate and postgraduate students of electronics and communication engineering

Prerequisites: Need to know basic probability theory and programming

## Lectures

1. [Lec :1 Introduction](https://invisiblenetwork.ai/learn/nptel/108103191/e63f6ebdab7f) (YouTube)
2. [Lec 2: Basics of MATLAB](https://invisiblenetwork.ai/learn/nptel/108103191/591bd2fef6ea) (YouTube)
3. [Lec 3: Data Types](https://invisiblenetwork.ai/learn/nptel/108103191/f6da07f33323) (YouTube)
4. [Lec 4: Floating Point Numbers](https://invisiblenetwork.ai/learn/nptel/108103191/037af9645a80) (YouTube)
5. [Lec 5: Scripts and Flow of Control](https://invisiblenetwork.ai/learn/nptel/108103191/94ea76c0961b) (YouTube)
6. [Lec 6: The For Loop](https://invisiblenetwork.ai/learn/nptel/108103191/25eaf6108b0f) (YouTube)
7. [Lec 7: Arrays](https://invisiblenetwork.ai/learn/nptel/108103191/ecd69b5c5cef) (YouTube)
8. [Lec 8: Indexing](https://invisiblenetwork.ai/learn/nptel/108103191/03f79914bf53) (YouTube)
9. [Lec 9: Some Results from Linear Algebra](https://invisiblenetwork.ai/learn/nptel/108103191/76eb075d8c6b) (YouTube)
10. [Lec 10: Matrix Multiplication](https://invisiblenetwork.ai/learn/nptel/108103191/e93b2efd3719) (YouTube)
11. [Lec 11: Eigenvalues and Eigenvectors](https://invisiblenetwork.ai/learn/nptel/108103191/27f5c3ec61df) (YouTube)
12. [Lec 12: Complex Numbers](https://invisiblenetwork.ai/learn/nptel/108103191/be5e9590da9f) (YouTube)
13. [Lec 13: Hermitian Matrices](https://invisiblenetwork.ai/learn/nptel/108103191/00661a5a5949) (YouTube)
14. [Lec 14: Matrix Inversion](https://invisiblenetwork.ai/learn/nptel/108103191/24de739e8daa) (YouTube)
15. [Lec 15: Signals](https://invisiblenetwork.ai/learn/nptel/108103191/1ff20797bc71) (YouTube)
16. [Lec 16: Convolution](https://invisiblenetwork.ai/learn/nptel/108103191/3bade830a593) (YouTube)
17. [Lec 17: Probability](https://invisiblenetwork.ai/learn/nptel/108103191/d0c7ec89c289) (YouTube)
18. [Lec 18: Bayes Theorem](https://invisiblenetwork.ai/learn/nptel/108103191/a154b669c98d) (YouTube)
19. [Lec 19: Random Varibles](https://invisiblenetwork.ai/learn/nptel/108103191/8154ba3953e3) (YouTube)
20. [Lec 20: Clinical Trials I](https://invisiblenetwork.ai/learn/nptel/108103191/ce662f2e786e) (YouTube)
21. [Lec 21: Clinical Trials II](https://invisiblenetwork.ai/learn/nptel/108103191/7de2f5608e3f) (YouTube)
22. [Lec 22: Random Numbers](https://invisiblenetwork.ai/learn/nptel/108103191/dcb9027a2f2c) (YouTube)
23. [Lec 23: Random Disttributions](https://invisiblenetwork.ai/learn/nptel/108103191/3ca0c5a757e1) (YouTube)
24. [Lec 24: Histograms](https://invisiblenetwork.ai/learn/nptel/108103191/b63efa135046) (YouTube)
25. [Lec 25: Histograms II](https://invisiblenetwork.ai/learn/nptel/108103191/3988cc15dcdb) (YouTube)
26. [Lec 26: Functions of Random Variables](https://invisiblenetwork.ai/learn/nptel/108103191/fbaabe6976a5) (YouTube)
27. [Lec 27: Generating Random Disttributions](https://invisiblenetwork.ai/learn/nptel/108103191/e0823e3a3dc4) (YouTube)
28. [Lec 28: Laws of Large numbers](https://invisiblenetwork.ai/learn/nptel/108103191/aba783ca1350) (YouTube)
29. [Lec 29: Random Processes](https://invisiblenetwork.ai/learn/nptel/108103191/7cf74e03cb37) (YouTube)
30. [Lec 30: Properties of Random Processes](https://invisiblenetwork.ai/learn/nptel/108103191/c29128abeb5b) (YouTube)
31. [Lec 31: Power Spectra](https://invisiblenetwork.ai/learn/nptel/108103191/87fe36b5d397) (YouTube)
32. [Lec 32: Signals and Noise](https://invisiblenetwork.ai/learn/nptel/108103191/9767f4fbfc39) (YouTube)
33. [Lec 33: Stochastic Models](https://invisiblenetwork.ai/learn/nptel/108103191/40a08070235c) (YouTube)
34. [Lec 34: The AR-1 Process](https://invisiblenetwork.ai/learn/nptel/108103191/80856ae4784d) (YouTube)
35. [Lec 35: Stochastic Models II](https://invisiblenetwork.ai/learn/nptel/108103191/f91fa04eb676) (YouTube)
36. [Lec 36: Yule Walker Equations](https://invisiblenetwork.ai/learn/nptel/108103191/fb1566cb0a6c) (YouTube)
37. [Lec 37: Markov Chains I](https://invisiblenetwork.ai/learn/nptel/108103191/b4b0e6236ae7) (YouTube)
38. [Lec 38: Markov Chains II](https://invisiblenetwork.ai/learn/nptel/108103191/d9cd9992ad3f) (YouTube)
39. [Lec 39: Markov Chains III](https://invisiblenetwork.ai/learn/nptel/108103191/3ab2b5627903) (YouTube)
40. [Lec 40: Analog to Digital Coversion](https://invisiblenetwork.ai/learn/nptel/108103191/06a568436061) (YouTube)
41. [Lec 41: K Means](https://invisiblenetwork.ai/learn/nptel/108103191/f5a629fd5a43) (YouTube)
42. [Lec 42: Correlation](https://invisiblenetwork.ai/learn/nptel/108103191/df2292f853d3) (YouTube)
43. [Lec 43: Predictive Coding](https://invisiblenetwork.ai/learn/nptel/108103191/554bbee16d4a) (YouTube)
44. [Lec 44: Image Compression](https://invisiblenetwork.ai/learn/nptel/108103191/b45bebb1c358) (YouTube)
45. [Lec 45: Transform Domain Compression](https://invisiblenetwork.ai/learn/nptel/108103191/b55fd6cf849e) (YouTube)
46. [Lec 46: Multi Resolution Coding](https://invisiblenetwork.ai/learn/nptel/108103191/00437f9eefaf) (YouTube)
47. [Lec 47: Introduction to Communications](https://invisiblenetwork.ai/learn/nptel/108103191/ef4ca153dbc3) (YouTube)
48. [Lec 48: Low Pass and BandPass Signals](https://invisiblenetwork.ai/learn/nptel/108103191/4afe47684dd0) (YouTube)
49. [Lec 49: Signal Spaces](https://invisiblenetwork.ai/learn/nptel/108103191/b80befca0fd1) (YouTube)
50. [Lec 50: PAM](https://invisiblenetwork.ai/learn/nptel/108103191/a40271168f03) (YouTube)
51. [Lec 51: Detection](https://invisiblenetwork.ai/learn/nptel/108103191/016c8e7347ac) (YouTube)
52. [Lec 52: Effects of AWGN](https://invisiblenetwork.ai/learn/nptel/108103191/6ed2a160e190) (YouTube)
53. [Lec 53: ML Detection](https://invisiblenetwork.ai/learn/nptel/108103191/412c5d41b77a) (YouTube)
54. [Lec 54: ML Detection II](https://invisiblenetwork.ai/learn/nptel/108103191/0314a0a58d9a) (YouTube)
55. [Lec 55: The Union Bound](https://invisiblenetwork.ai/learn/nptel/108103191/a17bdde575a3) (YouTube)
56. [Lec 56: Symbol Error Rates](https://invisiblenetwork.ai/learn/nptel/108103191/83cac4659c1d) (YouTube)
57. [Lec 57: Choosing Constellations](https://invisiblenetwork.ai/learn/nptel/108103191/f0609fd91ab3) (YouTube)
58. [Lec 58: Orthogonal Signalling](https://invisiblenetwork.ai/learn/nptel/108103191/547e7a97dca7) (YouTube)
59. [Lec 59: Non-Coherent Dection 1](https://invisiblenetwork.ai/learn/nptel/108103191/b20adaedd089) (YouTube)
60. [Lec 60: Non-Coherent Detection 2](https://invisiblenetwork.ai/learn/nptel/108103191/c6d507de6d43) (YouTube)
61. [Lec 61: DPSK](https://invisiblenetwork.ai/learn/nptel/108103191/c7c92f4839b3) (YouTube)
62. [Lec 62: DPSK II](https://invisiblenetwork.ai/learn/nptel/108103191/a3f6d751d13e) (YouTube)
63. [Lec 63: Introduction to Wireless Communications](https://invisiblenetwork.ai/learn/nptel/108103191/ae27a15df22c) (YouTube)
64. [Lec 64: Conclusion](https://invisiblenetwork.ai/learn/nptel/108103191/140a5a773fa8) (YouTube)