José Manuel Neto Vieira, Departament of Electronics, Telecommunications and Information Technology at the University of Aveiro, gives talk on “Compressed Sensing and Digital Fountains”
José Manuel Neto Vieira recently visited Carnegie Mellon’s Pittsburgh campus. One of the highlights of Vieira’s visit is a talk he presented titled, “Compressed Sensing and Digital Fountains.” The talk was on April 15, 2008. Vieira is a faculty member with the Instituto de Engenharia Electrónica e Telemática de Aveiro and the Departamento de Electrónica, Telecomunicações e Informática at the University of Aveiro.
Talk abstract:
Blahut was one of the first researchers to notice the tight connections between signal processing and coding areas. Coding using real or complex fields was, until a few years ago, a mere academic topic without any interesting applications. Recently, Elad and Donoho discovered an efficient method to recover a sparse signal from a set of random linear combination of its samples. This discovery created a compressed sensing area and new ways of sampling and representing signals. Digital Fountain coding is a new concept where the traditional paradigm of transmitting information as an ordered stream of packets is changed to one where the user must receive a sufficient amount of packets in order to reconstruct the original information. In this tutorial talk we will introduce these two concepts, Compressed Sensing and Digital Fountains, and how they are related. An overview of the applications of Digital Fountains will also be presented.
Biography:
José Vieira received a diploma in Electrical Engineering in 1988 from the University of Coimbra. In 2000 he received a PhD degree in Electrical Engineering from the University of Aveiro. He has been a professor of electrical engineering at the University of Aveiro since 1991, and is also a researcher at the IEETA Institute. He has been the President of the Portuguese chapter of the AES since 2003. His major research interests are in the fields of digital audio, signal reconstruction, digital fountains and compressed sensing.
