Modules / Lectures

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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 |
---|---|---|

1 | Introduction to Digital Communication Systems | Download |

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

55 | Principle of Decoding of Convolutional code | Download |

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

Sl.No | Chapter Name | English |
---|---|---|

1 | Introduction to Digital Communication Systems | PDF unavailable |

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Sl.No | Language | Book link |
---|---|---|

1 | English | Not Available |

2 | Bengali | Not Available |

3 | Gujarati | Not Available |

4 | Hindi | Not Available |

5 | Kannada | Not Available |

6 | Malayalam | Not Available |

7 | Marathi | Not Available |

8 | Tamil | Not Available |

9 | Telugu | Not Available |