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
DOWNLOAD APP
FOLLOW US