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Sl.No Chapter Name MP4 Download Transcript Download
1Introduction to Digital Communication SystemsDownloadPDF unavailable
2Spectrum of Transmitted Digital Communication Signal and Wide Sense StationarityDownloadPDF unavailable
3Spectrum of Transmitted Digital Communication Signal, Autocorrelation Function and Power Spectral DensityDownloadPDF unavailable
4Spectrum of Transmitted Digital Communication Signal, Relation to Energy Spectral Density and Introduction to AWGN ChannelDownloadPDF unavailable
5Additive White Gaussian Noise (AWGN) Properties, Gaussian Noise and White NoiseDownloadPDF unavailable
6Structure of Digital Communication Receiver, Receiver Filter and Signal-to-Noise Power Ratio (SNR)DownloadPDF unavailable
7Digital Communication Receiver, Noise Properties and Output Noise PowerDownloadPDF unavailable
8Digital Communication Receiver, Optimal SNR and Matched FilterDownloadPDF unavailable
9Probability of Error in Digital Communication and Probability Density Functions of OutputDownloadPDF unavailable
10Probability of Error in Digital Communication, Optimal Decison Rule and Gaussian Q functionDownloadPDF unavailable
11Introduction to Binary Phase Shift Keying (BPSK) Modulation, Optimal Decision Rule and Probability of Bit-Error or Bit-Error Rate (BER)DownloadPDF unavailable
12Introduction to Amplitude Shift Keying (ASK) ModulationDownloadPDF unavailable
13Optimal Decision Rule for Amplitude Shift Keying (ASK), Bit Error Rate (BER) and Comparison with Binary Phase Shift Keying (BPSK) ModulationDownloadPDF unavailable
14Introduction to Signal Space Concept and Orthonormal Basis SignalsDownloadPDF unavailable
15Introduction to Frequency Shift Keying (FSK)DownloadPDF unavailable
16Optimal Decision Rule for FSK, Bit Error Rate (BER) and Comparison with BPSK, ASKDownloadPDF unavailable
17Introduction to Quadrature Phase Shift Keying (QPSK)DownloadPDF unavailable
18Waveforms of Quadrature Phase Shift Keying (QPSK)DownloadPDF unavailable
19Matched Filtering, Bit Error Rate and Symbol Error Rate for Quadrature Phase Shift Keying (QPSK) DownloadPDF unavailable
20Introduction to M-ary PAM (Pulse Amplitude Modulation), Average Symbol Power and Decision rules DownloadPDF unavailable
21M-ary PAM (Pulse Amplitude Modulation) -Part-II, Optimal Decision Rule and Probability of ErrorDownloadPDF unavailable
22M-ary QAM (Quadrature Amplitude Modulation) Part-I, Introduction, Transmitted Waveform and Average Symbol EnergyDownloadPDF unavailable
23M-ary QAM (Quadrature Amplitude Modulation) - Part-II, Optimal Decision Rule, Probability of Error and Contellation DiagramDownloadPDF unavailable
24M-ary PSK (Phase Shift Keying) Part-I, Introduction , Transmitted Waveform and Constellation Diagram DownloadPDF unavailable
25M-ary PSK (Phase Shift Keying) - Part- II, Optimal Decision Rule, Nearest Neighbor Criterion and Approximate Probability of Error DownloadPDF unavailable
26Introduction to Information Theory, Relevance of Information Theory and Characterization of InformationDownloadPDF unavailable
27Definition of Entropy, Average of Information / Uncertainity of source and Properties of EntropyDownloadPDF unavailable
28Entropy Example- Binary Source Maximum and Minimum Entropy of Binary SourceDownloadPDF unavailable
29Maximum Entropy of Source with M-ary Alphabet, Concave/Convex Functions and Jensens InequalityDownloadPDF unavailable
30Joint Entropy , Definition of Joint Entropy of Two Sources and Simple Examples for Joint Entropy ComputationDownloadPDF unavailable
31Properties of Joint Entropy and Relation between Joint Entropy and Marginal EntropiesDownloadPDF unavailable
32Conditional Entropy, Example of Conditional Entropy and Properties of Conditional EntropyDownloadPDF unavailable
33Mutual Information, Diagrammatic Representation and Properties of Mutual Information DownloadPDF unavailable
34Simple Example of Mutual Information and Practical Example of Mutual Information-Binary Symmetric ChannelDownloadPDF unavailable
35Channel Capacity, Implications of Channel Capacity, Claude E. Shannon- Father of Information Theory and Example of Capacity of Binary Symmetric ChannelDownloadPDF unavailable
36Differential Entropy and Example for Uniform Probability Density functionDownloadPDF unavailable
37Differential Entropy of Gaussian Source and InsightsDownloadPDF unavailable
38Joint Conditional/ Differential Entropies and Mutual InformationDownloadPDF unavailable
39Capacity of Gaussian channel- Part IDownloadPDF unavailable
40Capacity of Gaussian Channel Part-II, Practical Implications and Maximum rate in bits\secDownloadPDF unavailable
41Introduction to Source Coding and Data Compression, Variable Length codes and Unique DecodabilityDownloadPDF unavailable
42Uniquely Decodable Codes, Prefix-free code, Instantaneous Code and Average Code lengthDownloadPDF unavailable
43Binary Tree Representation of Code, Example and Kraft InequalityDownloadPDF unavailable
44Lower Bound on Average Code Length and Kullback-Leibler DivergenceDownloadPDF unavailable
45Optimal Code length, Constrained Optimization and Morse Code ExampleDownloadPDF unavailable
46Approaching Lower Bound on Average code length and Block CodingDownloadPDF unavailable
47Huffman Code, Algorithm, Example and Average Code LengthDownloadPDF unavailable
48Introduction to channel coding, Rate of Code, Repetition Code and Hamming DistanceDownloadPDF unavailable
49Introduction to Convolutional Codes, Binary Field Arithmetic and Linear CodesDownloadPDF unavailable
50Example of Convolutional Code Output and Convolution Operation for Code generationDownloadPDF unavailable
51Matrix Representation of Convolutional Codes, Generator Matrix, Transform Domain Representation and Shift Register ArchitectureDownloadPDF unavailable
52State Diagram Representation of Convolutional Code, State transitions and Example of Code Generation using State transitionsDownloadPDF unavailable
53Trellis Representation of Convolutional Code and Valid Code WordsDownloadPDF unavailable
54Decoding of the Convolutional Code, Minimum Hamming distance and Maximum Likelihood Codeword EstimateDownloadPDF unavailable
55Principle of Decoding of Convolutional codeDownloadPDF unavailable
56Viterbi Decoder for Maximum Likelihood Decoding of Convolutional Code Using Trellis Representation, Branch Metric Calculation, State Metric Calculation and ExampleDownloadPDF unavailable