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Sl.No Chapter Name MP4 Download
1Introduction to Digital Communication SystemsDownload
2Spectrum of Transmitted Digital Communication Signal and Wide Sense StationarityDownload
3Spectrum of Transmitted Digital Communication Signal, Autocorrelation Function and Power Spectral DensityDownload
4Spectrum of Transmitted Digital Communication Signal, Relation to Energy Spectral Density and Introduction to AWGN ChannelDownload
5Additive White Gaussian Noise (AWGN) Properties, Gaussian Noise and White NoiseDownload
6Structure of Digital Communication Receiver, Receiver Filter and Signal-to-Noise Power Ratio (SNR)Download
7Digital Communication Receiver, Noise Properties and Output Noise PowerDownload
8Digital Communication Receiver, Optimal SNR and Matched FilterDownload
9Probability of Error in Digital Communication and Probability Density Functions of OutputDownload
10Probability of Error in Digital Communication, Optimal Decison Rule and Gaussian Q functionDownload
11Introduction to Binary Phase Shift Keying (BPSK) Modulation, Optimal Decision Rule and Probability of Bit-Error or Bit-Error Rate (BER)Download
12Introduction to Amplitude Shift Keying (ASK) ModulationDownload
13Optimal Decision Rule for Amplitude Shift Keying (ASK), Bit Error Rate (BER) and Comparison with Binary Phase Shift Keying (BPSK) ModulationDownload
14Introduction to Signal Space Concept and Orthonormal Basis SignalsDownload
15Introduction to Frequency Shift Keying (FSK)Download
16Optimal Decision Rule for FSK, Bit Error Rate (BER) and Comparison with BPSK, ASKDownload
17Introduction to Quadrature Phase Shift Keying (QPSK)Download
18Waveforms of Quadrature Phase Shift Keying (QPSK)Download
19Matched Filtering, Bit Error Rate and Symbol Error Rate for Quadrature Phase Shift Keying (QPSK) Download
20Introduction to M-ary PAM (Pulse Amplitude Modulation), Average Symbol Power and Decision rules Download
21M-ary PAM (Pulse Amplitude Modulation) -Part-II, Optimal Decision Rule and Probability of ErrorDownload
22M-ary QAM (Quadrature Amplitude Modulation) Part-I, Introduction, Transmitted Waveform and Average Symbol EnergyDownload
23M-ary QAM (Quadrature Amplitude Modulation) - Part-II, Optimal Decision Rule, Probability of Error and Contellation DiagramDownload
24M-ary PSK (Phase Shift Keying) Part-I, Introduction , Transmitted Waveform and Constellation Diagram Download
25M-ary PSK (Phase Shift Keying) - Part- II, Optimal Decision Rule, Nearest Neighbor Criterion and Approximate Probability of Error Download
26Introduction to Information Theory, Relevance of Information Theory and Characterization of InformationDownload
27Definition of Entropy, Average of Information / Uncertainity of source and Properties of EntropyDownload
28Entropy Example- Binary Source Maximum and Minimum Entropy of Binary SourceDownload
29Maximum Entropy of Source with M-ary Alphabet, Concave/Convex Functions and Jensens InequalityDownload
30Joint Entropy , Definition of Joint Entropy of Two Sources and Simple Examples for Joint Entropy ComputationDownload
31Properties of Joint Entropy and Relation between Joint Entropy and Marginal EntropiesDownload
32Conditional Entropy, Example of Conditional Entropy and Properties of Conditional EntropyDownload
33Mutual Information, Diagrammatic Representation and Properties of Mutual Information Download
34Simple Example of Mutual Information and Practical Example of Mutual Information-Binary Symmetric ChannelDownload
35Channel Capacity, Implications of Channel Capacity, Claude E. Shannon- Father of Information Theory and Example of Capacity of Binary Symmetric ChannelDownload
36Differential Entropy and Example for Uniform Probability Density functionDownload
37Differential Entropy of Gaussian Source and InsightsDownload
38Joint Conditional/ Differential Entropies and Mutual InformationDownload
39Capacity of Gaussian channel- Part IDownload
40Capacity of Gaussian Channel Part-II, Practical Implications and Maximum rate in bits\secDownload
41Introduction to Source Coding and Data Compression, Variable Length codes and Unique DecodabilityDownload
42Uniquely Decodable Codes, Prefix-free code, Instantaneous Code and Average Code lengthDownload
43Binary Tree Representation of Code, Example and Kraft InequalityDownload
44Lower Bound on Average Code Length and Kullback-Leibler DivergenceDownload
45Optimal Code length, Constrained Optimization and Morse Code ExampleDownload
46Approaching Lower Bound on Average code length and Block CodingDownload
47Huffman Code, Algorithm, Example and Average Code LengthDownload
48Introduction to channel coding, Rate of Code, Repetition Code and Hamming DistanceDownload
49Introduction to Convolutional Codes, Binary Field Arithmetic and Linear CodesDownload
50Example of Convolutional Code Output and Convolution Operation for Code generationDownload
51Matrix Representation of Convolutional Codes, Generator Matrix, Transform Domain Representation and Shift Register ArchitectureDownload
52State Diagram Representation of Convolutional Code, State transitions and Example of Code Generation using State transitionsDownload
53Trellis Representation of Convolutional Code and Valid Code WordsDownload
54Decoding of the Convolutional Code, Minimum Hamming distance and Maximum Likelihood Codeword EstimateDownload
55Principle of Decoding of Convolutional codeDownload
56Viterbi Decoder for Maximum Likelihood Decoding of Convolutional Code Using Trellis Representation, Branch Metric Calculation, State Metric Calculation and ExampleDownload

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


Sl.No Language Book link
1EnglishNot Available
2BengaliNot Available
3GujaratiNot Available
4HindiNot Available
5KannadaNot Available
6MalayalamNot Available
7MarathiNot Available
8TamilNot Available
9TeluguNot Available