Principles of Digital Communications I

Principles of Digital Communications I

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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 diag…

Prof. Robert Gallager Prof. Lizhong Zheng

Jul 6, 2015 LATEST EPISODE
infrequent NEW EPISODES
1h 16m AVG DURATION
24 EPISODES

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Latest episodes from Principles of Digital Communications I

Lecture 19: Baseband detection and complex Gaussian processes

Play Episode Listen Later Jul 6, 2015 76:33

complex lecture processes detection gaussian

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

Play Episode Listen Later Jul 6, 2015 64:13

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Lecture 22: Discrete-time baseband models for wireless channels

Play Episode Listen Later Jul 6, 2015 70:56

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

Play Episode Listen Later Jul 6, 2015 69:30

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

Play Episode Listen Later Jul 6, 2015 76:40

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Lecture 20: Introduction of wireless communication

Play Episode Listen Later Jul 6, 2015 76:28

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Lecture 15: Linear functionals and filtering of random processes

Play Episode Listen Later Jul 6, 2015 78:04

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Lecture 13: Random processes

Play Episode Listen Later Jul 6, 2015 75:05

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Lecture 16: Review; Introduction to detection

Play Episode Listen Later Jul 6, 2015 72:00

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

Play Episode Listen Later Jul 6, 2015 72:39

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

Play Episode Listen Later Jul 6, 2015 80:34

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Lecture 17: Detection for random vectors and processes

Play Episode Listen Later Jul 6, 2015 68:00

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Lecture 07: High rate quantizers and waveform encoding

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Lecture 11: Signal space, projection theorem, and modulation

Play Episode Listen Later Jul 6, 2015 82:38

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Lecture 8: Measure, Fourier series, and Fourier transforms

Play Episode Listen Later Jul 6, 2015 79:29

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

Play Episode Listen Later Jul 6, 2015 80:55

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

Play Episode Listen Later Jul 6, 2015 78:27

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Lecture 09: Discrete-time Fourier transforms and sampling theorem

Play Episode Listen Later Jul 6, 2015 76:44

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Lecture 04: Entropy and asymptotic equipartition property

Play Episode Listen Later Jul 6, 2015 81:19

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Lecture 05: Markov sources and Lempel-Ziv universal codes

Play Episode Listen Later Jul 6, 2015 78:58

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Lecture 02: Discrete source encoding

Play Episode Listen Later Jul 6, 2015 79:14

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Lecture 06: Quantization

Play Episode Listen Later Jul 6, 2015 79:32

Lecture 01: Introduction: A layered view of digital communication

Play Episode Listen Later Jul 6, 2015 79:35

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Lecture 03: Memory-less sources, prefix free codes, and entropy

Play Episode Listen Later Jul 6, 2015 69:26

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