Technical Program

Wikipedia Meeting

Session Type: Lecture and Discussion
Time: Friday, May 31, 12:30 - 13:55
Location: Room 118
Organizers: Jayakrishnan Unnikrishnan, Martin Vetterli, and Doug Williams

Following the special session on Signal Processing Education in the Internet Age, we will have a Wikipedia workshop focussing on Signal Processing articles on Wikipedia and how the SP research community can contribute to improving the quality of SP articles.

Wikipedia has become one of the most widely-used resources on signal processing, used frequently by researchers, teachers and students. Therefore, maintaining a high quality standard for signal processing articles on Wikipedia is without doubt important. Nevertheless, the freelance-editing model of Wikipedia makes quality control and maintenance of these articles a real challenge. As researchers in the field, there is much that we can do towards improving and maintaining the quality of such articles without too much effort. Moreover, editing an article on Wikipedia is expected to have way more impact and visibility than a paper one may write on the topic; e.g., the page on Nyquist–Shannon sampling theorem is viewed on average a 1000 times a day.

In this workshop we will have a primer, including commentary by Dick Lyon (see bio below), on how one can meaningfully contribute towards improving SP articles on Wikipedia. The workshop is open to all conference attendees. We do not assume any background knowledge on editing Wikipedia. We will discuss topics like tools for editing and the right attitude towards editing. In addition, we will discuss an action plan towards building a Wikiproject on Signal Processing comprising a group of volunteers working together to improve SP articles on Wikipedia. Participants are encouraged to think of specific articles/ types of articles that they think require improvement and articles they could help to improve. They are also encouraged to sign up on the wikiproject page under construction at

We encourage participants to bring a laptop with internet connection for maximizing the benefits of participating.

Richard F. Lyon Bio

Richard F. Lyon is known for his work on cochlear models and auditory correlograms for the visualization and recognition of complex sounds, and for analog and digital VLSI implementations of these models, at Xerox, Schlumberger, and Apple. After a decade off to develop digital cameras and image sensors at Foveon, he moved back into hearing and now leads Google's research and applications in machine hearing; he concurrently led the team that developed cameras for Google's Street View project. Lyon received a BS from Caltech and an MS in electrical engineering from Stanford University. He is a Fellow of the IEEE and a Fellow of the ACM, and is among the top 500 editors of wikipedia.