Lecture Videos | Principles of Digital Communications I | Electrical Engineering and Computer Science | MIT OpenCourseWare

Course Info

Instructors

Departments

Electrical Engineering and Computer Science

As Taught In

Fall 2006

Level

Graduate

Topics

Engineering

Electrical Engineering

Digital Systems

Telecommunications

Learning Resource Types

Lecture Videos

Problem Sets

Exams with Solutions

Lecture Notes

Download Course

Lecture Videos

Lecture 1: Introduction

Lecture 2: Discrete Source Encoding

Lecture 3: Memory-less Sources

Lecture 4: Entropy and Asymptotic Equipartition Property

Lecture 5: Markov Sources

Lecture 6: Quantization

Lecture 7: High Rate Quantizers and Waveform Encoding

Lecture 8: Measure

Lecture 9: Discrete-Time Fourier Transforms

Lecture 10: Degrees of Freedom

Lecture 11: Signal Space

Lecture 12: Nyquist Theory

Lecture 13: Random Processes

Lecture 14: Jointly Gaussian Random Vectors

Lecture 15: Linear Functionals

Lecture 16: Review; Introduction to Detection

Lecture 17: Detection for Random Vectors and Processes

Lecture 18: Theory of Irrelevance

Lecture 19: Baseband Detection

Lecture 20: Introduction of Wireless Communication

Lecture 21: Doppler Spread

Lecture 22: Discrete-Time Baseband Models for Wireless Channels

Lecture 23: Detection for Flat Rayleigh Fading and Incoherent Channels

Lecture 24: Case Study on Code Division Multiple Access

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