Digital communications
Published: 3 January 2022
This course will give you an introduction to information and channel capacity as well as the theory and applications of a number of basic concepts in digital communication
About the course:
In addition to an introduction to information and channel capacity, the course deals with the theory and applications of a number of basic concepts in digital communication, such as:
- vector representation
- digital modulation (PSK, QAM)
- pulse shapes
- noise
- the matched filter
- Nyquist signaling
- intersymbol interference
- detection
- optimal receivers
- maximum likelihood detection
- performance measures
- dispersive channels
- bit error content
- OFDM
Mandatory computer exercises in Matlab are included in the course
At the end of the course you will be able to:
- Describe, explain linear modulation
- Describe, explain, calculate the spectrum and bandwidth of communication signals
- Describe, explain, calculate baseband representation of signals with passband character
- Describe, explain, calculate signal constellations, its energy, and distance properties
- Describe, explain, calculate Nyquist pulses for communication and its properties
- Describe, explain, calculate how signals can be represented as vectors
- Describe, explain, calculate the matched filter
- Describe, explain, calculate the additive Gaussian noise and its effect
- Describe, explain, calculate hypothesis tests and detection
- Describe, explain, calculate the Map and ML detector
- Describe, explain, calculate the Q function
- Describe, explain, calculate the error probabilities of detectors
- Describe, explain OFDM
- Evaluate and simulate simple digital communication systems in MATLAB.
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