Lecture 19: Baseband detection and complex Gaussian processes

Lecture 23: Detection for flat Rayleigh fading and incoherent channels, and Rake receivers

Lecture 22: Discrete-time baseband models for wireless channels

Lecture 24: Case study - Code Division Multiple Access (CDMA)

Lecture 21: Doppler spread, time spread, coherence time, and coherence frequency

Lecture 20: Introduction of wireless communication

Lecture 15: Linear functionals and filtering of random processes

Lecture 13: Random processes

Lecture 16: Review; Introduction to detection

Lecture 18: Theorem of irrelevance, M-ary detection, and coding

Lecture 14: Jointly Gaussian random vectors and processes and white Gaussian noise (WGN)

Lecture 17: Detection for random vectors and processes

Lecture 07: High rate quantizers and waveform encoding

Lecture 11: Signal space, projection theorem, and modulation

Lecture 8: Measure, Fourier series, and Fourier transforms

Lecture 12: Nyquist theory, pulse amplitude modulation (PAM), quadrature amplitude modulation (QAM), and frequency translation

Lecture 10: Degrees of freedom, orthonormal expansions, and aliasing

Lecture 09: Discrete-time Fourier transforms and sampling theorem

Lecture 04: Entropy and asymptotic equipartition property

Lecture 05: Markov sources and Lempel-Ziv universal codes

advanced course on digital communication from legendary Prof. Gallager

great course

Principles of Digital Communications I

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