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September 25, 2023

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Description

Modern Digital Communication Techniques. Instructor: Prof. Suvra Sekhar Das, G. S. Sanyal School of Telecommunication, IIT Kharagpur.

The objective of this course is to present the engineering principles, theories and practices, which are necessary for successful design of a digital communication system. The course will delve into the design principles of transmitter and receiver so as to establish a reliable communication link. This course aims at enabling the participants to establish unambiguous mathematical statements describing every step of transmitting and receiving a signal through a communication link. It aims at exposing the details of noise, its modeling and its effect on communication systems design. It will cover methods of performance analysis of digital communication systems. Through use of fundamental knowledge developed in related areas of signal processing, the course aims at presenting a unified way of analyzing and designing a digital communication system. It will encompass central aspects of estimation and detection theory, which are crucial in designing a complete receiver (synchronization, channel equalization, etc.). At the end of the course, the participant will be equipped with methods of systematic representation, analysis and design of a digital communication system which are essential in designing communication systems with complex and futuristic requirements. (from nptel.ac.in)

Course Curriculum

    • Lecture 01 – Differences between Analog and Digital Communication Systems Unlimited
    • Lecture 02 – Important Aspects of a Digital Communication System Unlimited
    • Lecture 03 – Standardized Interfaces and Layering Unlimited
    • Lecture 04 – Probability and Randomness in the Communication System Unlimited
    • Lecture 05 – Components of Transmitter Unlimited
    • Lecture 06 – Rx Block Diagram, Discrete Sources and Fixed Length Coding Unlimited
    • Lecture 07 – Fixed Length Coding, Fixed Length Coding for M Tuples and Variable Length Coding Unlimited
    • Lecture 08 – Variable Length Coding, Unique Decodability, Prefix Free Code Unlimited
    • Lecture 09 – Prefix Free Code (Full Tree), Kraft Inequality Unlimited
    • Lecture 10 – Kraft Inequality: Minimum L for Prefix Free Code Unlimited
    • Lecture 11 – Entropy Bounds on L Unlimited
    • Lecture 12 – Fixed to Variable Length Coding Unlimited
    • Lecture 13 – Examples on Source Coding Unlimited
    • Lecture 14 – Huffman Algorithm Unlimited
    • Lecture 15 – Sampling of Analog Sources Unlimited
    • Lecture 16 – Quantization Unlimited
    • Lecture 17 – Signals and Characterization, Unit Step Function, Delta Function Unlimited
    • Lecture 18 – Important Fourier Relationships for Communication System Analysis Unlimited
    • Lecture 19 – Representation of Bandpass Signals Unlimited
    • Lecture 20 – Representation of Bandpass Systems, Representation of Bandpass Signal Output of a Band Pass System Unlimited
    • Lecture 21 – Representation of Bandpass Stochastic Processes Unlimited
    • Lecture 22 – Autocorrelation and Power Spectral Density of White Noise in Communication System Unlimited
    • Lecture 23 – Signal Space Representation: Gram Schmidt Procedure, Signal Space Concept, Orthogonal Expansion of Signal Unlimited
    • Lecture 24 – Introduction to Modulation, Difference between Analog and Digital Modulation Unlimited
    • Lecture 25 – Pulse Amplitude Modulation Unlimited
    • Lecture 26 – Distinction between Quantizer Levels and Pulse Amplitude Level, Symbol Mapping Unlimited
    • Lecture 27 – Gray Coding, Signal Energy, Euclidean Distance between Signals Unlimited
    • Lecture 28 – Phase Shift Keying (PSK) Unlimited
    • Lecture 29 – Quadrature Amplitude Modulation (QAM) Unlimited
    • Lecture 30 – Signal Generation for QAM, Scalable/ Flexible QAM Constellation Unlimited
    • Lecture 31 – Spectral Efficiency, N-Dimensional Signalling Unlimited
    • Lecture 32 – M-ary Orthogonal Frequency Shift Keying Unlimited
    • Lecture 33 – Orthogonal FSK (cont.), Orthogonal Frequency Division Multiplexing, NRZI Unlimited
    • Lecture 34 – Continuous Phase Frequency Shift Keying Unlimited
    • Lecture 35 – Continuous Phase Modulation Unlimited
    • Lecture 36 – Minimum Shift Keying Unlimited
    • Lecture 37 – QPSK and Offset QPSK Unlimited
    • Lecture 38 – Spectral Characteristics of Digitally Modulated Signals Unlimited
    • Lecture 39 – Power Spectral Density Unlimited
    • Lecture 40 – AWGN Channel, Receiver Structure Unlimited
    • Lecture 41 – Receiver Architecture: Correlation Demodulator Unlimited
    • Lecture 42 – Receiver Architecture: Matched Filter Demodulator Unlimited
    • Lecture 43 – Properties of the Matched Filter Unlimited
    • Lecture 44 – The Optimum Detector Unlimited
    • Lecture 45 – The Optimum Detector (cont.) Unlimited
    • Lecture 46 – Probability of Error: Binary Modulation, M-ary PAM Unlimited
    • Lecture 47 – Probability of Error: PAM, QAM Unlimited
    • Lecture 48 – Probability of Error for M-ary Orthogonal Signals Unlimited
    • Lecture 49 – Probability of Error for Binary Orthogonal Signals Unlimited
    • Lecture 50 – Channel Models: Binary Symmetric channel, Waveform Channels Unlimited
    • Lecture 51 – Channel Capacity Unlimited
    • Lecture 52 – Channel Capacity (cont.) Unlimited
    • Lecture 53 – Communication through Band Limited Channels Unlimited
    • Lecture 54 – Nyquist Pulse and Filter, Inter Symbol Interference (ISI) Unlimited
    • Lecture 55 – Data Detection for Controlled ISI, Equalizer Unlimited
    • Lecture 56 – Channel Estimation, Equalizer Unlimited
    • Lecture 57 – Signal Parameter Estimation, Minimum Variance Unbiased Estimator Unlimited
    • Lecture 58 – Maximum Likelihood Estimator Unlimited
    • Lecture 59 – Total Carrier Phase or the Carrier Frequency at the Receiver Unlimited
    • Lecture 60 – Symbol Timing Recovery Unlimited

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