ECE 611
Digital Communications
Fall 2021
Topics
- s on information quantities and lossy coding will help you understand deep learning better and provide a basis for designing robust and widely deploy- able deep neural networks.
- Overview of digital communications – Network of networks – Bigger pipes, more pipes, and better pipes
- A digital communication block diagram
- Mathematical models for communication channels
- Review of probability theory
- Mathematical models for information sources
- Entropy and mutual information
- Lossless data compression – Coding for discrete sources – Huffman coding and adaptive Huffman coding – Run-length coding – Arithmetic coding 1
- The context weighting algorithm – The Lempel-Ziv algorithm – Grammar-based coding – Yang-Kieffer algorithms
- Lossy data compression – Rate distortion function – Scalar quantization – Vector quantization
- Vector communications with AWGN interference
- Waveform communications with AWGN interference
- Digital modulation methods
- Probability of Error for various digital modulation methods
- Channel models and channel capacity – Channel models – Bandwidth, dimensionality, and channel capacity – Achieving channel capacity with orthogonal signals in the case of infinite bandwidth – Channel reliability function
- Polar codes
Readings
- Digital CommunicationsMcGraw–Hill, 2001.
- R. G. Gallager, Principles of Digital Communication, Cambridge University Press, 2008.
- ECE 611 course notes available online.
Fall 2020
Topics
- s on information quantities and inequalities will help you understand deep learning better and formulate soundly your deep learning problems.
- Overview of digital communications – Network of networks – Bigger pipes, more pipes, and better pipes
- A digital communication block diagram
- Mathematical models for communication channels
- Review of probability theory
- Mathematical models for information sources
- Entropy and mutual information
- Lossless data compression – Coding for discrete sources – Huffman coding and adaptive Huffman coding – Run-length coding – Arithmetic coding – The context weighting algorithm 1
- The Lempel-Ziv algorithm – Grammar-based coding – Yang-Kieffer algorithms
- Lossy data compression – Rate distortion function – Scalar quantization – Vector quantization
- Vector communications with AWGN interference
- Waveform communications with AWGN interference
- Digital modulation methods
- Probability of Error for various digital modulation methods
- Channel models and channel capacity – Channel models – Bandwidth, dimensionality, and channel capacity – Achieving channel capacity with orthogonal signals in the case of infinite bandwidth – Channel reliability function
Readings
- Digital CommunicationsMcGraw–Hill, 2001.
- R. G. Gallager, Principles of Digital Communication, Cambridge University Press, 2008.
- ECE 611 course notes available online.
Fall 2016 · Advanced Digital Communications
Readings
- Digital Communications
- Principles of Digital Communication
Sources
- Course catalogue ↗2026–2027
- course_outline ↗Fall 2021
- course_outline ↗Fall 2020
- course_outline ↗Fall 2016
- Official public PDF outline or course description. Materials and topic extracts may be partial; consult the linked source for the full list.
- Official public PDF outline or course description. Materials and topic extracts may be partial; consult the linked source for the full list.
- Public departmental course outline. Source may be archival; no current-term assignment is implied. Bibliographic details are preserved in textbook notes.