MIT 6.450 Principles of Digital Communications I - Fall 2006

MIT 6.450 Principles of Digital Communications I - Fall 2006

24 Lectures · Sep 3, 2006

About

The course serves as an introduction to the theory and practice behind many of today's communications systems. 6.450 forms the first of a two-course sequence on digital communication. The second class, 6.451, is offered in the spring.

Topics covered include: digital communications at the block diagram level, data compression, Lempel-Ziv algorithm, scalar and vector quantization, sampling and aliasing, the Nyquist criterion, PAM and QAM modulation, signal constellations, finite-energy waveform spaces, detection, and modeling and system design for wireless communication.

Recommended Citation

For any use or distribution of these materials, please cite as follows:

Robert Gallager and Lizhong Zheng, course materials for 6.450 Principles of Digital Communications I, Fall 2006.

Course Homepage: 6.450 Principles of Digital Communications I Fall 2006

Course features at MIT OpenCourseWare page: *Syllabus *Lecture Notes *Assignment *Exams *Download Course Materials

Complete MIT OCW video collection at MIT OpenCourseWare - VideoLectures.NET

Uploaded videos:

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01:19:36

Lecture 1: Introduction: A layered view of digital communication

Robert G. Gallager

Apr 16, 2009

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01:19:15

Lecture 2: Discrete source encoding

Robert G. Gallager

Apr 16, 2009

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01:09:26

Lecture 3: Memory-less sources, prefix free codes, and entropy

Robert G. Gallager

Apr 16, 2009

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01:21:20

Lecture 4: Entropy and asymptotic equipartition property

Robert G. Gallager

Apr 16, 2009

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01:18:59

Lecture 5: Markov sources and Lempel-Ziv universal codes

Robert G. Gallager

Apr 16, 2009

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01:19:31

Lecture 6: Quantization

Robert G. Gallager

Apr 16, 2009

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01:20:02

Lecture 7: High rate quantizers and waveform encoding

Robert G. Gallager

Apr 16, 2009

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01:19:29

Lecture 8: Measure, fourier series, and fourier transforms

Robert G. Gallager

Apr 16, 2009

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01:16:45

Lecture 9: Discrete-time fourier transforms and sampling theorem

Robert G. Gallager

Apr 16, 2009

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01:18:28

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

Robert G. Gallager

Apr 16, 2009

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01:22:37

Lecture 11: Signal space, projection theorem, and modulation

Robert G. Gallager

Apr 16, 2009

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01:20:54

Lecture 12: Nyquist theory, pulse amplitude modulation (PAM), quadrature amplitu...

Robert G. Gallager

Apr 16, 2009

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01:15:03

Lecture 13: Random processes

Robert G. Gallager

Apr 16, 2009

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01:20:35

Lecture 14: Jointly Gaussian random vectors and processes and white Gaussian noi...

Robert G. Gallager

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01:18:05

Lecture 15: Linear functionals and filtering of random processes

Robert G. Gallager

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01:12:00

Lecture 16: Review; introduction to detection

Robert G. Gallager

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01:08:00

Lecture 17: Detection for random vectors and processes

Robert G. Gallager

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01:12:39

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

Robert G. Gallager

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01:16:33

Lecture 19: Baseband detection and complex Gaussian processes

Robert G. Gallager

Apr 16, 2009

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01:16:29

Lecture 20: Introduction of wireless communication

Robert G. Gallager

Apr 16, 2009

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01:16:40

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

Robert G. Gallager

Apr 16, 2009

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01:10:55

Lecture 22: Discrete-time baseband models for wireless channels

Robert G. Gallager

Apr 16, 2009

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01:04:14

Lecture 23: Detection for flat rayleigh fading and incoherent channels, and rake...

Robert G. Gallager

Apr 16, 2009

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01:09:30

Lecture 24: Case study — code division multiple access (CDMA)

Robert G. Gallager

Apr 16, 2009

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