Uploaded November 2016 | Updated September 2026, 53 minutes ago
You can look at Shannon’s capacity theorem as a constraint—or as a challenge. One of the more exciting stories is how improvements to data encoding have repeatedly increased the data rates achievable by wireless devices. This evolution represents a wonderful fusion of theory and practice. And recently, researchers have begun to be able to formulate so-calledcapacity achieving codes. These encoding schemes approach the Shannon limit. Unfortunately, they typically require extremely long inputs, making them not necessarily useful in practice.
Credits: Talking: Geoffrey Challen (Assistant Professor, Computer Science and Engineering, University at Buffalo). Producing: Greg Bunyea (Undergraduate, Computer Science and Engineering, University at Buffalo).
Part of the internet-class.org online internet course. A blue Systems Research Group (https://blue.cse.buffalo.edu) production.
You can look at Shannon’s capacity theorem as a constraint—or as a challenge. One of the more exciting stories is how improvements to data encoding have repeatedly increased the data rates achievable by wireless devices. This evolution represents a wonderful fusion of theory and practice. And recently, researchers have begun to be able to formulate so-calledcapacity achieving codes. These encoding schemes approach the Shannon limit. Unfortunately, they typically require extremely long inputs, making them not necessarily useful in practice.
Credits: Talking: Geoffrey Challen (Assistant Professor, Computer Science and Engineering, University at Buffalo). Producing: Greg Bunyea (Undergraduate, Computer Science and Engineering, University at Buffalo).
Part of the internet-class.org online internet course. A blue Systems Research Group (https://blue.cse.buffalo.edu) production.
