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Sl.No Chapter Name Transcript Download
1Introduction to Digital Communication Systems English(PDF)|
2Spectrum of Transmitted Digital Communication Signal and Wide Sense Stationarity English(PDF)|
3Spectrum of Transmitted Digital Communication Signal, Autocorrelation Function and Power Spectral Density English(PDF)|
4Spectrum of Transmitted Digital Communication Signal, Relation to Energy Spectral Density and Introduction to AWGN Channel English(PDF)|
5Additive White Gaussian Noise (AWGN) Properties, Gaussian Noise and White Noise English(PDF)|
6Structure of Digital Communication Receiver, Receiver Filter and Signal-to-Noise Power Ratio (SNR) English(PDF)|
7Digital Communication Receiver, Noise Properties and Output Noise Power English(PDF)|
8Digital Communication Receiver, Optimal SNR and Matched Filter English(PDF)|
9Probability of Error in Digital Communication and Probability Density Functions of Output English(PDF)|
10Probability of Error in Digital Communication, Optimal Decison Rule and Gaussian Q function English(PDF)|
11Introduction to Binary Phase Shift Keying (BPSK) Modulation, Optimal Decision Rule and Probability of Bit-Error or Bit-Error Rate (BER) English(PDF)|
12Introduction to Amplitude Shift Keying (ASK) Modulation English(PDF)|
13Optimal Decision Rule for Amplitude Shift Keying (ASK), Bit Error Rate (BER) and Comparison with Binary Phase Shift Keying (BPSK) Modulation English(PDF)|
14Introduction to Signal Space Concept and Orthonormal Basis Signals English(PDF)|
15Introduction to Frequency Shift Keying (FSK) English(PDF)|
16Optimal Decision Rule for FSK, Bit Error Rate (BER) and Comparison with BPSK, ASK English(PDF)|
17Introduction to Quadrature Phase Shift Keying (QPSK) English(PDF)|
18Waveforms of Quadrature Phase Shift Keying (QPSK) English(PDF)|
19Matched Filtering, Bit Error Rate and Symbol Error Rate for Quadrature Phase Shift Keying (QPSK) English(PDF)|
20Introduction to M-ary PAM (Pulse Amplitude Modulation), Average Symbol Power and Decision rules English(PDF)|
21M-ary PAM (Pulse Amplitude Modulation) -Part-II, Optimal Decision Rule and Probability of Error English(PDF)|
22M-ary QAM (Quadrature Amplitude Modulation) Part-I, Introduction, Transmitted Waveform and Average Symbol Energy English(PDF)|
23M-ary QAM (Quadrature Amplitude Modulation) - Part-II, Optimal Decision Rule, Probability of Error and Contellation Diagram English(PDF)|
24M-ary PSK (Phase Shift Keying) Part-I, Introduction , Transmitted Waveform and Constellation Diagram English(PDF)|
25M-ary PSK (Phase Shift Keying) - Part- II, Optimal Decision Rule, Nearest Neighbor Criterion and Approximate Probability of Error English(PDF)|
26Introduction to Information Theory, Relevance of Information Theory and Characterization of Information English(PDF)|
27Definition of Entropy, Average of Information / Uncertainity of source and Properties of Entropy English(PDF)|
28Entropy Example- Binary Source Maximum and Minimum Entropy of Binary Source English(PDF)|
29Maximum Entropy of Source with M-ary Alphabet, Concave/Convex Functions and Jensens Inequality English(PDF)|
30Joint Entropy , Definition of Joint Entropy of Two Sources and Simple Examples for Joint Entropy Computation English(PDF)|
31Properties of Joint Entropy and Relation between Joint Entropy and Marginal Entropies English(PDF)|
32Conditional Entropy, Example of Conditional Entropy and Properties of Conditional Entropy English(PDF)|
33Mutual Information, Diagrammatic Representation and Properties of Mutual Information English(PDF)|
34Simple Example of Mutual Information and Practical Example of Mutual Information-Binary Symmetric Channel English(PDF)|
35Channel Capacity, Implications of Channel Capacity, Claude E. Shannon- Father of Information Theory and Example of Capacity of Binary Symmetric Channel English(PDF)|
36Differential Entropy and Example for Uniform Probability Density function English(PDF)|
37Differential Entropy of Gaussian Source and Insights English(PDF)|
38Joint Conditional/ Differential Entropies and Mutual Information English(PDF)|
39Capacity of Gaussian channel- Part I English(PDF)|
40Capacity of Gaussian Channel Part-II, Practical Implications and Maximum rate in bits\sec English(PDF)|
41Introduction to Source Coding and Data Compression, Variable Length codes and Unique Decodability English(PDF)|
42Uniquely Decodable Codes, Prefix-free code, Instantaneous Code and Average Code length English(PDF)|
43Binary Tree Representation of Code, Example and Kraft Inequality English(PDF)|
44Lower Bound on Average Code Length and Kullback-Leibler Divergence English(PDF)|
45Optimal Code length, Constrained Optimization and Morse Code Example English(PDF)|
46Approaching Lower Bound on Average code length and Block Coding English(PDF)|
47Huffman Code, Algorithm, Example and Average Code Length English(PDF)|
48Introduction to channel coding, Rate of Code, Repetition Code and Hamming Distance English(PDF)|
49Introduction to Convolutional Codes, Binary Field Arithmetic and Linear Codes English(PDF)|
50Example of Convolutional Code Output and Convolution Operation for Code generation English(PDF)|
51Matrix Representation of Convolutional Codes, Generator Matrix, Transform Domain Representation and Shift Register Architecture English(PDF)|
52State Diagram Representation of Convolutional Code, State transitions and Example of Code Generation using State transitions English(PDF)|
53Trellis Representation of Convolutional Code and Valid Code Words English(PDF)|
54Decoding of the Convolutional Code, Minimum Hamming distance and Maximum Likelihood Codeword Estimate English(PDF)|
55Principle of Decoding of Convolutional code English(PDF)|
56Viterbi Decoder for Maximum Likelihood Decoding of Convolutional Code Using Trellis Representation, Branch Metric Calculation, State Metric Calculation and Example English(PDF)|
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