Digital Communication
Digital Communication. Instructor: Prof. Bikash Kumar Dey, Department of Electrical Engineering, IIT Bombay. The course provides an introduction to the principles of digital communication and investigates what happens inside digital communication systems. Topics covered in the lectures include: sampling, quantization, PCM and delta modulation, probability and random process, channels and their models, information theory, bandpass signal representation, digital modulation techniques, calculation of probability of error, and Equalizers.
(from nptel.ac.in)
Lecture 01  Introduction to Digital Communication 
Lecture 02  Sampling 
Lecture 03  Quantization, PCM, and Delta Modulation 
Lecture 04  Probability and Random Process 
Lecture 05  Probability and Random Process (cont.) 
Lecture 06  Channels and Their Models 
Lecture 07  Channels and Their Models (cont.) 
Lecture 08  Information Theory 
Lecture 09  Information Theory (cont.) 
Lecture 10  Bandpass Signal Representation 
Lecture 11  Bandpass Signal Representation (cont.) 
Lecture 12  Digital Modulation Techniques: Pulse Amplitude Modulation 
Lecture 13  Digital Modulation Techniques: Pulse Amplitude Modulation (cont.) 
Lecture 14  Demodulation Techniques for PAM Signals 
Lecture 15  Demodulation of PAM Signals (cont.), PSK (Phase Shift Keying) 
Lecture 16  PSK and QAM (Quadrature Amplitude Modulation), Linear Algebra 
Lecture 17  Some Basic Linear Algebra for Digital Modulation 
Lecture 18  Frequency Shift Keying (FSK), Pulse Position Modulation (PPM) 
Lecture 19  Biorthogonal Signals, Demodulation 
Lecture 20  Demodulation: PAM, PSK, QAM, FSK, PPM, etc. 
Lecture 21  Digital Modulation Techniques: Eye Diagram, Mapper 
Lecture 22  Calculation of Probability of Error for PAM and Binary PAM 
Lecture 23  Calculation of Probability of Error for QAM, FSK, and PPM 
Lecture 24  Calculation of Probability of Error for Biorthogonal Signal Sets, Upper Bound on Probability of Error 
Lecture 25  Equalizers 
Lecture 26  Source Coding: Introduction, Huffman Code 
Lecture 27  Source Coding: Kraft Inequality, Optimal Codes 
Lecture 28  Source Coding: Blockwise Source Coding, ShannonFanoElias Code 
Lecture 29  Source Coding: Arithmetic Coding, LempelZiv Code 
Lecture 30  Channel Coding 
Lecture 31  Fundamentals of OFDM 
Lecture 32  Conclusion 
References 
Digital Communication
Instructor: Prof. Bikash Kumar Dey, Department of Electrical Engineering, IIT Bombay. The course provides an introduction to the principles of digital communication.
