Coherent Package: Machine Learning and Information Processing for Communications
The Internet traffic currently flows through cables, optical fibers, satellite and wireless links at previously unimaginable speeds. This always-connected society we live in is therefore generating vast amounts of data which needs to be properly processed. Information need to be safely stored but also transmitted from source to destination, often through complex communication networks. The generated data can also be used by artificial intelligence to learn and monitor telecommunication systems and also to improve digital signal processing (DSP) algorithms used therein.
The aforementioned topics are covered in the coherent package Machine Learning and Information Processing for Communications, where problems related to digital information are treated from telecommunications, information theory, and machine learning perspectives.
For more information visit Module 27 at the Check Your Master 2020 event hosted on CANVAS.