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The course serves as an introduction to the theory and practice behind many of today’s communications systems
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English
English [CC]
FREE
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Description
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.
Course content
- Preface and table of contents Unlimited
- Introduction to digital communication Unlimited
- Coding for discrete sources Unlimited
- Quantization Unlimited
- Source and channel waveforms Unlimited
- Vector spaces and signal space Unlimited
- Channels, modulation, and demodulation Unlimited
- Random processes and noise Unlimited
- Detection, coding, and decoding Unlimited
- Wireless digital communication Unlimited
- Bibliography Unlimited
Instructor
Massachusetts Institute of Technology
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