Modules / Lectures

Module Name | Download | Description | Download Size |
---|---|---|---|

Week-1 | Week1 Assignment | Week1 Assignment | 168 kb |

Week-1 | Week1 Solution | Week1 Solution | 183 kb |

Week-2 | Week2 Assignment | Week2 Assignment | 179 kb |

Week-2 | Week2 Solution | Week2 Solution | 163 kb |

Week-3 | Week3 Assignment | Week3 Assignment | 121 kb |

Week-3 | Week3 Solution | Week3 Solution | 117 kb |

Week-4 | Week4 Assignment | Week4 Assignment | 126 kb |

Week-4 | Week4 Solution | Week4 Solution | 111 kb |

Week-5 | Week5 Assignment | Week5 Assignment | 177 kb |

Week-5 | Week5 Solution | Week5 Solution | 165 kb |

Week-6 | Week6 Assignment | Week6 Assignment | 190 kb |

Week-6 | Week6 Solution | Week6 Solution | 159 kb |

Week-7 | Week7 Assignment | Week7 Assignment | 82 kb |

Week-7 | Week7 Solution | Week7 Solution | 75 kb |

Week-8 | Week8 Assignment | Week8 Assignment | 95 kb |

Week-8 | Week8 Solution | Week8 Solution | 153 kb |

Module Name | Download |
---|---|

Week_01_Assignment_1 | Week_01_Assignment_1 |

Week_02_Assignment_2 | Week_02_Assignment_2 |

Week_03_Assignment_3 | Week_03_Assignment_3 |

Week_04_Assignment_4 | Week_04_Assignment_4 |

Week_05_Assignment_5 | Week_05_Assignment_5 |

Week_06_Assignment_6 | Week_06_Assignment_6 |

Week_07_Assignment_7 | Week_07_Assignment_7 |

Week_08_Assignment_8 | Week_08_Assignment_8 |

Sl.No | Chapter Name | MP4 Download | Transcript Download |
---|---|---|---|

1 | Introduction to Digital Communication Systems | Download | PDF unavailable |

2 | Spectrum of Transmitted Digital Communication Signal and Wide Sense Stationarity | Download | PDF unavailable |

3 | Spectrum of Transmitted Digital Communication Signal, Autocorrelation Function and Power Spectral Density | Download | PDF unavailable |

4 | Spectrum of Transmitted Digital Communication Signal, Relation to Energy Spectral Density and Introduction to AWGN Channel | Download | PDF unavailable |

5 | Additive White Gaussian Noise (AWGN) Properties, Gaussian Noise and White Noise | Download | PDF unavailable |

6 | Structure of Digital Communication Receiver, Receiver Filter and Signal-to-Noise Power Ratio (SNR) | Download | PDF unavailable |

7 | Digital Communication Receiver, Noise Properties and Output Noise Power | Download | PDF unavailable |

8 | Digital Communication Receiver, Optimal SNR and Matched Filter | Download | PDF unavailable |

9 | Probability of Error in Digital Communication and Probability Density Functions of Output | Download | PDF unavailable |

10 | Probability of Error in Digital Communication, Optimal Decison Rule and Gaussian Q function | Download | PDF unavailable |

11 | Introduction to Binary Phase Shift Keying (BPSK) Modulation, Optimal Decision Rule and Probability of Bit-Error or Bit-Error Rate (BER) | Download | PDF unavailable |

12 | Introduction to Amplitude Shift Keying (ASK) Modulation | Download | PDF unavailable |

13 | Optimal Decision Rule for Amplitude Shift Keying (ASK), Bit Error Rate (BER) and Comparison with Binary Phase Shift Keying (BPSK) Modulation | Download | PDF unavailable |

14 | Introduction to Signal Space Concept and Orthonormal Basis Signals | Download | PDF unavailable |

15 | Introduction to Frequency Shift Keying (FSK) | Download | PDF unavailable |

16 | Optimal Decision Rule for FSK, Bit Error Rate (BER) and Comparison with BPSK, ASK | Download | PDF unavailable |

17 | Introduction to Quadrature Phase Shift Keying (QPSK) | Download | PDF unavailable |

18 | Waveforms of Quadrature Phase Shift Keying (QPSK) | Download | PDF unavailable |

19 | Matched Filtering, Bit Error Rate and Symbol Error Rate for Quadrature Phase Shift Keying (QPSK) | Download | PDF unavailable |

20 | Introduction to M-ary PAM (Pulse Amplitude Modulation), Average Symbol Power and Decision rules | Download | PDF unavailable |

21 | M-ary PAM (Pulse Amplitude Modulation) -Part-II, Optimal Decision Rule and Probability of Error | Download | PDF unavailable |

22 | M-ary QAM (Quadrature Amplitude Modulation) Part-I, Introduction, Transmitted Waveform and Average Symbol Energy | Download | PDF unavailable |

23 | M-ary QAM (Quadrature Amplitude Modulation) - Part-II, Optimal Decision Rule, Probability of Error and Contellation Diagram | Download | PDF unavailable |

24 | M-ary PSK (Phase Shift Keying) Part-I, Introduction , Transmitted Waveform and Constellation Diagram | Download | PDF unavailable |

25 | M-ary PSK (Phase Shift Keying) - Part- II, Optimal Decision Rule, Nearest Neighbor Criterion and Approximate Probability of Error | Download | PDF unavailable |

26 | Introduction to Information Theory, Relevance of Information Theory and Characterization of Information | Download | PDF unavailable |

27 | Definition of Entropy, Average of Information / Uncertainity of source and Properties of Entropy | Download | PDF unavailable |

28 | Entropy Example- Binary Source Maximum and Minimum Entropy of Binary Source | Download | PDF unavailable |

29 | Maximum Entropy of Source with M-ary Alphabet, Concave/Convex Functions and Jensens Inequality | Download | PDF unavailable |

30 | Joint Entropy , Definition of Joint Entropy of Two Sources and Simple Examples for Joint Entropy Computation | Download | PDF unavailable |

31 | Properties of Joint Entropy and Relation between Joint Entropy and Marginal Entropies | Download | PDF unavailable |

32 | Conditional Entropy, Example of Conditional Entropy and Properties of Conditional Entropy | Download | PDF unavailable |

33 | Mutual Information, Diagrammatic Representation and Properties of Mutual Information | Download | PDF unavailable |

34 | Simple Example of Mutual Information and Practical Example of Mutual Information-Binary Symmetric Channel | Download | PDF unavailable |

35 | Channel Capacity, Implications of Channel Capacity, Claude E. Shannon- Father of Information Theory and Example of Capacity of Binary Symmetric Channel | Download | PDF unavailable |

36 | Differential Entropy and Example for Uniform Probability Density function | Download | PDF unavailable |

37 | Differential Entropy of Gaussian Source and Insights | Download | PDF unavailable |

38 | Joint Conditional/ Differential Entropies and Mutual Information | Download | PDF unavailable |

39 | Capacity of Gaussian channel- Part I | Download | PDF unavailable |

40 | Capacity of Gaussian Channel Part-II, Practical Implications and Maximum rate in bits\sec | Download | PDF unavailable |

41 | Introduction to Source Coding and Data Compression, Variable Length codes and Unique Decodability | Download | PDF unavailable |

42 | Uniquely Decodable Codes, Prefix-free code, Instantaneous Code and Average Code length | Download | PDF unavailable |

43 | Binary Tree Representation of Code, Example and Kraft Inequality | Download | PDF unavailable |

44 | Lower Bound on Average Code Length and Kullback-Leibler Divergence | Download | PDF unavailable |

45 | Optimal Code length, Constrained Optimization and Morse Code Example | Download | PDF unavailable |

46 | Approaching Lower Bound on Average code length and Block Coding | Download | PDF unavailable |

47 | Huffman Code, Algorithm, Example and Average Code Length | Download | PDF unavailable |

48 | Introduction to channel coding, Rate of Code, Repetition Code and Hamming Distance | Download | PDF unavailable |

49 | Introduction to Convolutional Codes, Binary Field Arithmetic and Linear Codes | Download | PDF unavailable |

50 | Example of Convolutional Code Output and Convolution Operation for Code generation | Download | PDF unavailable |

51 | Matrix Representation of Convolutional Codes, Generator Matrix, Transform Domain Representation and Shift Register Architecture | Download | PDF unavailable |

52 | State Diagram Representation of Convolutional Code, State transitions and Example of Code Generation using State transitions | Download | PDF unavailable |

53 | Trellis Representation of Convolutional Code and Valid Code Words | Download | PDF unavailable |

54 | Decoding of the Convolutional Code, Minimum Hamming distance and Maximum Likelihood Codeword Estimate | Download | PDF unavailable |

55 | Principle of Decoding of Convolutional code | Download | PDF unavailable |

56 | Viterbi Decoder for Maximum Likelihood Decoding of Convolutional Code Using Trellis Representation, Branch Metric Calculation, State Metric Calculation and Example | Download | PDF unavailable |