Digital communication –theory and practice ee604
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The document outlines the syllabus for a course on Digital Communication – Theory and Practice. The course covers 7 topics over 1 semester including a review of communication signals and systems, probability and stochastic processes, information theory and source coding, AWGN channels and modulation/demodulation, channel capacity and information transmission, channel coding techniques, and modern communication topics such as OFDM and spread spectrum. Recommended textbooks include Digital Communications by Proakis, Modern Digital and Analog Communication Systems by Lahti, and Digital Communications by Sklar.
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![M.Tech (Defence Electronic Systems)
Syllabus for
DIGITAL COMMUNICATION –THEORY AND PRACTICE
Subject Code: EE604 Max. Marks:
100
I – Semester 3-0-0-
100
1. REVIEW OF COMMUNICATION SIGNALS AND SYSTEMS [6 hrs]
Analytical representation of band passes signals and noise, signal space representation,
representation of digitally modulated signals, spectral characteristics of digital modulation.
2. PROBABILITY AND STOCHASTIC PROCESS [5 hrs]
Functions of random variables, statistical averages of random variables, some useful probability
distributions and their moments, power density spectrum, response of LTI system to random process.
3. INFORMATION THEORY AND SOURCE CODING [5 hrs]
Measure of information, entropy, mutual information, Shanon-Fano theorem, Huffman coding, LZW
coding, lossy coding, transform domain coding
4. AWGN CHANNELS, MODULATION AND DEMODULATION [6 hrs]
Demodulation and detection of digital signals, matched filter demodulator, correlator demodulator,
probability of error for M- ary modulation, Viterbi decoding
5. CHANNEL CAPACITY AND INFORMATION TRANSMISSION [6 hrs]
Shanon’s channel capacity theorem, orthogonal and non-orthogonal cases of modulation, power,
bandwidth, rate tradeoff, Nyquist rate of transmission, raised cosine channels
6. CHANNEL CODING TECHNIQUES [8 hrs]
Hamming weight and codes, linear block codes, cyclic codes, convolution codes, syndrome decoding,
Trellis codes, turbo codes, coding rate and detection errors
7. TOPICS OF MODERN COMMUNICATION [12 hrs]
OFDM and multicarrier communication, fading channels, spread spectrum communication, satellite
communication, fibre optic communication, software defined radio.
Text books:
1. Digital Communications, 4th Edition, J G Proakis, McGraw-Hill,](https://image.slidesharecdn.com/digitalcommunicationtheoryandpracticeee604-130214083451-phpapp01/85/Digital-communication-theory-and-practice-ee604-1-320.jpg)
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This work uses artificial intelligence to create an automatic solution for the modulation's classification of
various radio signals. This project is a component of a lengthy communications intelligence process that
aims to find an automated method for demodulating, decoding, and deciphering communication signals. As
a result, the work we did involved selecting the database required for supervised deep learning, assessing
the performance of current methods on unprocessed communication signals, and suggesting a deep
learning network-based method that would enable the classification of modulation types with the best
possible ratio between computation time and accuracy. In order to use the current automatic classification
models as a guide, we first conducted study on them. As a result, we suggested an ensemble learning
strategy based on Transformer Neural Network and adjusted ResNet that takes into account the difficulty
of forecasting in low Signal Noise Ratio (SNR) scenarios while also being effective at extracting multiscale characteristics from the raw I/Q sequence data. Ultimately, we produced an architecture for
communication signals that is simple to work with and implement. With an accuracy of up to 95%, this
solution's optimum and sturdy architecture decides the type of modulation on its own.
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Digital communication –theory and practice ee604
- 1. M.Tech (Defence Electronic Systems) Syllabus for DIGITAL COMMUNICATION –THEORY AND PRACTICE Subject Code: EE604 Max. Marks: 100 I – Semester 3-0-0- 100 1. REVIEW OF COMMUNICATION SIGNALS AND SYSTEMS [6 hrs] Analytical representation of band passes signals and noise, signal space representation, representation of digitally modulated signals, spectral characteristics of digital modulation. 2. PROBABILITY AND STOCHASTIC PROCESS [5 hrs] Functions of random variables, statistical averages of random variables, some useful probability distributions and their moments, power density spectrum, response of LTI system to random process. 3. INFORMATION THEORY AND SOURCE CODING [5 hrs] Measure of information, entropy, mutual information, Shanon-Fano theorem, Huffman coding, LZW coding, lossy coding, transform domain coding 4. AWGN CHANNELS, MODULATION AND DEMODULATION [6 hrs] Demodulation and detection of digital signals, matched filter demodulator, correlator demodulator, probability of error for M- ary modulation, Viterbi decoding 5. CHANNEL CAPACITY AND INFORMATION TRANSMISSION [6 hrs] Shanon’s channel capacity theorem, orthogonal and non-orthogonal cases of modulation, power, bandwidth, rate tradeoff, Nyquist rate of transmission, raised cosine channels 6. CHANNEL CODING TECHNIQUES [8 hrs] Hamming weight and codes, linear block codes, cyclic codes, convolution codes, syndrome decoding, Trellis codes, turbo codes, coding rate and detection errors 7. TOPICS OF MODERN COMMUNICATION [12 hrs] OFDM and multicarrier communication, fading channels, spread spectrum communication, satellite communication, fibre optic communication, software defined radio. Text books: 1. Digital Communications, 4th Edition, J G Proakis, McGraw-Hill,
- 2. 2. Modern Digital and Analog Communication Systems, 3rd Edition, B P Lahti, Oxford University Press, 1998 3. Digital Communications, 2nd Edition, Bernard Sklar, Pabitra Kumar Ray, Pearson Education,2009 Further Reading: 1. Communication Systems, Simon Haykin, John W