Updating search results...

Search Resources

2 Results

View
Selected filters:
  • sampling-theorem
Communication Systems Engineering
Conditional Remix & Share Permitted
CC BY-NC-SA
Rating
0.0 stars

This course will cover fundamentals of digital communications and networking. We will study the basics of information theory, sampling and quantization, coding, modulation, signal detection and system performance in the presence of noise. The study of data networking will include multiple access, reliable packet transmission, routing and protocols of the internet. The concepts taught in class will be discussed in the context of aerospace communication systems: aircraft communications, satellite communications, and deep space communications.

Subject:
Applied Science
Career and Technical Education
Computer Science
Electronic Technology
Engineering
Material Type:
Full Course
Provider:
MIT
Provider Set:
MIT OpenCourseWare
Author:
Modiano, Eytan
Date Added:
02/01/2009
Principles of Digital Communication I
Conditional Remix & Share Permitted
CC BY-NC-SA
Rating
0.0 stars

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 Principles of Digital Communication II, 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.

Subject:
Applied Science
Career and Technical Education
Electronic Technology
Engineering
Material Type:
Full Course
Provider:
MIT
Provider Set:
MIT OpenCourseWare
Author:
Feizi-Khankandi, Soheil
Médard, Muriel
Date Added:
09/01/2009