Penn Seminar on Communications and Networking

The Penn seminar on communications and networking is a seminar for students at Penn whose interests lie or intersect the general areas of communications and networking. The seminar is held weekly during the Fall an Spring semester and occasionally during breaks. information about upcoming talks in the present semester is available here. Archival information regarding earlier editions of the seminar is accessible through the navigation menu on the left.

November 27, 2012

Title: Compressive Power Spectrum Sensing

Speaker:Geert Leus
Date:Tuesday, November 27, 2012
Time:2:00 pm to 3:00 pm
Location:Towne 337

Abstract: Spectrum sensing is a crucial ingredient of various types of applications. Frequency spectrum sensing is for instance important for cognitive radio networks, a new disruptive wireless technology where radio devices opportunistically gain wireless access by claiming temporarily unused resources, and this without causing harmful interference to authorized users. Furthermore, angular spectrum sensing can also be adopted for cognitive radio, but is also of interest for estimating the direction-of-arrival of transmitting sources, e.g., for localization purposes. A popular tool that has recently been introduced for spectrum sensing is compressive sampling. Adopting this technique, it is possible to sample the measured signal below the Nyquist rate without compromising the reconstruction error, under the condition that the measured signal is sparse in some domain (frequency, angular, etc.). Current compressive spectrum sensing techniques mainly focus on reconstructing the signal itself. However, for many applications, this is overkill and estimating the power on every frequency or angle is sufficient. That is why we developed a new framework for reconstructing the power spectrum from compressive measurements, labelled as compressive power spectrum sensing. This allows for improved compression rates as well as an increased performance compared to the more traditional compressive spectrum sensing techniques. Moreover, if designed appropriately, compressive power spectrum sensing even works without any sparsity constraints on the spectrum, i.e., it can also be used to reconstruct non-sparse spectra. In this talk, we will introduce the concept of compressive power spectrum sensing, thereby mainly focusing on reconstructing frequency and angular power spectra from compressive measurements.

Bio: Geert Leus was born in Leuven, Belgium, in 1973. He received the electrical engineering degree and the PhD degree in applied sciences from the Katholieke Universiteit Leuven, Belgium, in June 1996 and May 2000, respectively. He has been a Research Assistant and a Postdoctoral Fellow of the Fund for Scientific Research - Flanders, Belgium, from October 1996 till September 2003. During that period, Geert Leus was affiliated with the Electrical Engineering Department of the Katholieke Universiteit Leuven, Belgium. Currently, Geert Leus is a Full Professor at the Faculty of Electrical Engineering, Mathematics and Computer Science of the Delft University of Technology, The Netherlands. His research interests are in the area of signal processing for communications. Geert Leus received a 2002 IEEE Signal Processing Society Young Author Best Paper Award and a 2005 IEEE Signal Processing Society Best Paper Award. He was the Chair of the IEEE Signal Processing for Communications and Networking Technical Committee, and an Associate Editor for the IEEE Transactions on Signal Processing, the IEEE Transactions on Wireless Communications, and the IEEE Signal Processing Letters. Currently, he is a member of the IEEE Sensor Array and Multichannel Technical Committee and serves on the Editorial Board of the EURASIP Journal on Advances in Signal Processing. Geert Leus has been elevated to IEEE Fellow.

Material: Slides for this talk will be available soon


This is the list of talks scheduled for the 2012 spring edition of the seminar. If you wish to add your talk to this schedule please contact the

Tuesday, October 16Towne 3372:00pm - 3:00pmModel Selection in High-Dimensional Linear Models:Can an Old Dog be Taught New Tricks?Waheed Bajwa
Friday, October 19Levine 30710:30am - 11:45amThe Limited Feedback RevolutionRobert Heath
Tuesday, October 30Towne 33711:00am - 12:00pmCompressed Sensing for Wideband Cognitive RadiosZhi Tian
Tuesday, November 27thTowne 3372:00am - 3:00pmCompressive Power Spectrum SensingGeert Leus