Digital communication is a fundamental course in the electronics and communication stream.The objectives of this course is to introduce the basic principles that underlie the analysis and successful design of a digital communication system. Digital communication systems have been used in all modern communication systems. Emphasis is placed on understanding system design goals and to optimize the tradeoff among basic system parameters such as signal-to-noise ratio, bandwidth, etc.
INTENDED AUDIENCE: Electronics and Communications Engineering students and professionals
PREREQUISITES : Basic idea of Signals and Systems, and probability theory
INDUSTRY SUPPORT : Telecommunication Industry, e.g., Qualcomm,Ericson, Huawei
Overview
Syllabus
COURSE LAYOUT
Week 1: Introduction to digital communications: Interfaces and channels for digital communications
Week 2: Geometric representation of signals: Geometric representation of signals, Gram-Schmidt orthogonalization, Geometric interpretation of signals
Week 3: Review of random variables: Introduction to random variables, joint probability density function, characteristic functions, derived distributions
Week 4: Review of random process: Introduction to random processes, Gaussian process, Linear functional of random process, Stationary and wide sense stationary random process, Power spectral density, White Gaussian noise
Week 6: Waveform coding: Pulse code modulation, Differential pulse codemodulation, and delta modulation
Week 7: Modulation - I: Complex baseband representation, degrees of freedoms, linear modulation, spectral description of linearly modulated signals
Week 8: Modulation – II: Nyquist criterion, raised cosine family of pulses, Intersymbol interference
Week 9: Modulation - III: Coherent binary modulation formats, e.g., ASK, FSK and PSK, Coherent QAM, M-ary modulation techniques, Orthogonal and biorthogonal modulation
Week 10: Hypothesis testing: Optimum decision region in AWGN, Maximum Aposteriori Probability (MAP) and Maximum Likelihood Receiver, Theorem of irrelevance
Week 11: Performance analysis of binary and M-ary signaling schemes: Performance analysis of binary signaling schemes, performance analysis of M-ary signaling schemes, bit-level demodulation,Non-coherent communication: Composite hypothesis testing, optimal demodulation for non-coherent communication
Week 12: Performance analysis of non-coherent communication: Performance of binary and M-ary non-coherent communication
Taught by
Prof. Abhishek Dixit
