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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 SystemsDownload
Verified
2Spectrum of Transmitted Digital Communication Signal and Wide Sense StationarityDownload
Verified
3Spectrum of Transmitted Digital Communication Signal, Autocorrelation Function and Power Spectral DensityDownload
Verified
4Spectrum of Transmitted Digital Communication Signal, Relation to Energy Spectral Density and Introduction to AWGN ChannelDownload
Verified
5Additive White Gaussian Noise (AWGN) Properties, Gaussian Noise and White NoiseDownload
Verified
6Structure of Digital Communication Receiver, Receiver Filter and Signal-to-Noise Power Ratio (SNR)Download
Verified
7Digital Communication Receiver, Noise Properties and Output Noise PowerDownload
Verified
8Digital Communication Receiver, Optimal SNR and Matched FilterDownload
Verified
9Probability of Error in Digital Communication and Probability Density Functions of OutputDownload
Verified
10Probability of Error in Digital Communication, Optimal Decison Rule and Gaussian Q functionDownload
Verified
11Introduction to Binary Phase Shift Keying (BPSK) Modulation, Optimal Decision Rule and Probability of Bit-Error or Bit-Error Rate (BER)Download
Verified
12Introduction to Amplitude Shift Keying (ASK) ModulationDownload
Verified
13Optimal Decision Rule for Amplitude Shift Keying (ASK), Bit Error Rate (BER) and Comparison with Binary Phase Shift Keying (BPSK) ModulationDownload
Verified
14Introduction to Signal Space Concept and Orthonormal Basis SignalsDownload
Verified
15Introduction to Frequency Shift Keying (FSK)Download
Verified
16Optimal Decision Rule for FSK, Bit Error Rate (BER) and Comparison with BPSK, ASKDownload
Verified
17Introduction to Quadrature Phase Shift Keying (QPSK)Download
Verified
18Waveforms of Quadrature Phase Shift Keying (QPSK)Download
Verified
19Matched Filtering, Bit Error Rate and Symbol Error Rate for Quadrature Phase Shift Keying (QPSK) Download
Verified
20Introduction to M-ary PAM (Pulse Amplitude Modulation), Average Symbol Power and Decision rules Download
Verified
21M-ary PAM (Pulse Amplitude Modulation) -Part-II, Optimal Decision Rule and Probability of ErrorDownload
Verified
22M-ary QAM (Quadrature Amplitude Modulation) Part-I, Introduction, Transmitted Waveform and Average Symbol EnergyDownload
Verified
23M-ary QAM (Quadrature Amplitude Modulation) - Part-II, Optimal Decision Rule, Probability of Error and Contellation DiagramDownload
Verified
24M-ary PSK (Phase Shift Keying) Part-I, Introduction , Transmitted Waveform and Constellation Diagram Download
Verified
25M-ary PSK (Phase Shift Keying) - Part- II, Optimal Decision Rule, Nearest Neighbor Criterion and Approximate Probability of Error Download
Verified
26Introduction to Information Theory, Relevance of Information Theory and Characterization of InformationDownload
Verified
27Definition of Entropy, Average of Information / Uncertainity of source and Properties of EntropyDownload
Verified
28Entropy Example- Binary Source Maximum and Minimum Entropy of Binary SourceDownload
Verified
29Maximum Entropy of Source with M-ary Alphabet, Concave/Convex Functions and Jensens InequalityDownload
Verified
30Joint Entropy , Definition of Joint Entropy of Two Sources and Simple Examples for Joint Entropy ComputationDownload
Verified
31Properties of Joint Entropy and Relation between Joint Entropy and Marginal EntropiesDownload
Verified
32Conditional Entropy, Example of Conditional Entropy and Properties of Conditional EntropyDownload
Verified
33Mutual Information, Diagrammatic Representation and Properties of Mutual Information Download
Verified
34Simple Example of Mutual Information and Practical Example of Mutual Information-Binary Symmetric ChannelDownload
Verified
35Channel Capacity, Implications of Channel Capacity, Claude E. Shannon- Father of Information Theory and Example of Capacity of Binary Symmetric ChannelDownload
Verified
36Differential Entropy and Example for Uniform Probability Density functionDownload
Verified
37Differential Entropy of Gaussian Source and InsightsDownload
Verified
38Joint Conditional/ Differential Entropies and Mutual InformationDownload
Verified
39Capacity of Gaussian channel- Part IDownload
Verified
40Capacity of Gaussian Channel Part-II, Practical Implications and Maximum rate in bits\secDownload
Verified
41Introduction to Source Coding and Data Compression, Variable Length codes and Unique DecodabilityDownload
Verified
42Uniquely Decodable Codes, Prefix-free code, Instantaneous Code and Average Code lengthDownload
Verified
43Binary Tree Representation of Code, Example and Kraft InequalityDownload
Verified
44Lower Bound on Average Code Length and Kullback-Leibler DivergenceDownload
Verified
45Optimal Code length, Constrained Optimization and Morse Code ExampleDownload
Verified
46Approaching Lower Bound on Average code length and Block CodingDownload
Verified
47Huffman Code, Algorithm, Example and Average Code LengthDownload
Verified
48Introduction to channel coding, Rate of Code, Repetition Code and Hamming DistanceDownload
Verified
49Introduction to Convolutional Codes, Binary Field Arithmetic and Linear CodesDownload
Verified
50Example of Convolutional Code Output and Convolution Operation for Code generationDownload
Verified
51Matrix Representation of Convolutional Codes, Generator Matrix, Transform Domain Representation and Shift Register ArchitectureDownload
Verified
52State Diagram Representation of Convolutional Code, State transitions and Example of Code Generation using State transitionsDownload
Verified
53Trellis Representation of Convolutional Code and Valid Code WordsDownload
Verified
54Decoding of the Convolutional Code, Minimum Hamming distance and Maximum Likelihood Codeword EstimateDownload
Verified
55Principle of Decoding of Convolutional codeDownload
Verified
56Viterbi Decoder for Maximum Likelihood Decoding of Convolutional Code Using Trellis Representation, Branch Metric Calculation, State Metric Calculation and ExampleDownload
Verified


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