Technical Program SSIE 2014
Signat Processing in ICT
Monday 7/7 (Casa della Gioventù)
9:00 – 12:30 Luca Benini, University of Bologna DEI and ETH Zurich, D-ITET “Parallel digital signal processing in a mW power envelope: how and why”
14:00 – 16:30 PhD students Presentations
Tuesday 8/7: (Casa della Gioventù)
9:00 – 12:30 Andrea Zanella, Università di Padova (DEI), “Signal processing: a networking perspective”
14:00 – 17:00 PhD students working Groups
Wednesday 9/7: (Casa della Gioventù)
9:00 – 12:30 Nicola Laurenti, Università di Padova (DEI), “Signal processing for unconditional security”
Thursday 10/7: (Casa della Gioventù)
9:00 – 12:30 Pietro Zanuttigh; Università di Padova (DEI); “Image and video analysis: feature descriptors and their applications”
14:00 – 16:30 PhD students Presentations
Friday 11/7: (Casa della Gioventù)
9:00 – 12:30 Marco Chiani; Università di Bologna (DEI); “Some recent results in signal processing for communication and localization
12:30 – 13:00 SSIE Closing, (Gaudenzio Meneghesso, Silvano Pupolin, Co-Directors)
ABSTRACTS
Luca Benini
University of Bologna DEI and ETH Zurich, D-ITET
“parallel digital signal processing in a mW power envelope: how and why?”
Abstract: With the widespread diffusion of distributed and wearable sensors, the requirements for ultra-low power sensor data stream processing and fusion are becoming more stringent. In this talk I will discuss recent trends in near-threshold parallel processing which make it possible to break the pJ/op barrier at a total power envelope of a few mW. In this regime, sensor interfaces become the power bottleneck and new solutions pushing heterogeneous integration are required.
Andrea Zanella,
Università di Padova (DEI),
“Signal processing: a networking perspective”
Abstract: This tutorial will illustrate how signal processing plays a pivotal role in many fields of the networking domain. We will start with a broad overview of the main challenges in modern networks and discuss how signal processing gets into p-lay in this domain. To substantiate the discussion, we will successively consider specific networking challenges that are tackled by adopting suitable signal processing techniques at different levels of the protocol stack. We will show how context-information can be inferred from suitable processing of PHY-layer signals and exploited to improve the high-level network performance, or to support location-dependent services. Then, we will see how signal processing can help designing network protocols in wireless sensor networks. Finally, we will show an example of how signal processing methods coming from (apparently) unrelated areas, such as that of cognitive science, can be applied into our domain for the optimization of modern communication systems.
Nicola Laurenti,
Università di Padova (DEI),
“Signal processing for unconditional security”
Abstract: As our personal data and communication are ever more often transmitted and stored in electronic form, concerns are growing about whether we can maintain some control over them and to what extent. Such interest has led to the development of the field of information and communications security well beyond the traditional realm of military communications. In particular, the unconditional security paradigm guarantees a given level of security that is independent of the computational capabilities of the adversary, by leveraging the generation and processing of (true) random signals In this tutorial we will review the application of signal processing techniques in providing several security services, such as secrecy, anonymity, signal authentication and integrity protection, watermarking and fingerprinting, with a particular focus on those mechanisms that ensure unconditional security. Application examples will range from secret wireless communication at the physical layer, to the protection of multimedia content.
Pietro Zanuttigh;
Università di Padova (DEI);
“Image and video analysis: feature descriptors and their applications”
Abstract: This tutorial will cover some recent advancements in the field of image and video analysis. The first part will be devoted to the extraction of relevant features from images and videos like edges, corners and other distinctive points. The construction of reliable descriptors for the points of interest will then be addressed with a particular focus on the Scale-Invariant Feature Transform (SIFT), a method that has attracted a huge interest in recent years. Finally some examples of the usage of the extracted features in applications like image mosaicking, 3D reconstruction and motion estimation in videos will be shown.
Marco Chiani;
Università di Bologna (DEI);
“Some recent results in signal processing for communication and localization”
Abstract: The possibility to communicate with nodes and to accurately localize them by using wireless techniques is of central importance for emerging applications in the Internet of Things (IoT) scenario. After a review of the main results in detection and estimation theory, we will present some recent results in signal processing for communication and localization. The talk will cover in particular:
model order selection based on information theoretic criteria for signals counting, for ranging and for spectrum sensing;
interference subtraction and codes on graphs for the random access in the IoT: Coded Slotted Aloha.
recent results on the distribution of the eigenvalues of random Wishart matrices with applications to wireless MIMO systems and to spectrum sensing.