We are an Italian university research group with many different research interests, all of them with an Information Technology background and sharing a common statistical approach. As an example, topics of our interest include (but are not limited to) the design and the analysis of chaotic circuits, of random or pseudorandom generator circuits, and their applications to improve performance of many Information Technology topics such as digital communications, the Electro-Magnetic Interferences (EMI) reduction or the Compressed Sensing paradigm.
Here we report brief descriptions of the last investigated topics including lists of recently published papers.
Compressed Sensing (CS) is a emerging topic in the area of Signal Processing. Our contribution focuses on a new methodology for CS which is based on the design of acquisition sequences that are able to maximize what we call "rakeness" (corresponding to the average energy of the CS sample). With respect to the standard CS aprroach (it is based on acquisition sequences generated as instances of independent and identically distributed random variable) the proposed rakeness-based CS produces beneficts that can be used to either reduce the minimum number of CS samples needed to correctly represents a inpu signal instances (to increment the compression ratio) or rather to reduce the reconstruction error for a fixed amount os CS samples. For references and more details go to dedicated web site .
Exploiting the synergic effect of our expertise in the electronic circuit design and in statistical analysis, we are able to present a novel mixed-mode architecture for the generation of high-quality (i.e., very high signal-to-noise ratio) pulse-width modulated signals.
Salvatore Caporale, Fabio Pareschi, Valerio Cambareri, Riccardo Rovatti, Gianluca Setti, “A Soft-defined Pulse Width Modulation Approach - Part I: Principles”, accepted for publication in IEEE Transactions on Circuits and Systems I - Regular Papers, Vol. 62, No. 9., pp. 2280-2289. September 2015 - doi: 10.1109/TCSI.2015.2459555
Salvatore Caporale, Fabio Pareschi, Valerio Cambareri, Riccardo Rovatti, Gianluca Setti, “A Soft-defined Pulse Width Modulation Approach - Part II: System Modeling”, accepted for publication in IEEE Transactions on Circuits and Systems I - Regular Papers, Vol. 62, No. 9., pp. 2290-2300. September 2015 - doi: 10.1109/TCSI.2015.2459556
A very common approach among active EMI reduction techniques is the application of spread spectrum clocking. We have been able both to optimize common known approaches, and to propose new innovative techniques capable of outperforming already known ones. Go to the dedicated web site for further details .
Fabio Pareschi, Riccardo Rovatti, and Gianluca Setti, "EMI Reduction via Spread Spectrum in DC/DC Converters: State of the Art, Optimization, and Tradeoffs," IEEE Access, Vol. 3, pp. 2857-2874. 2015. ISSN: 2169-3536. doi: 10.1109/ACCESS.2015.2512383
We are active since many years in the field of Random Numbers. We have obtained significant results in the generation of high quality true-random bits by means of chaotic circuits, as well as in the statistical testing of random bit sequences. We are also able to propose generators capable of generating random bit sequences with prescribed higher-order expectations
Fabio Pareschi, Gianluca Setti, and Riccardo Rovatti, “Implementation and Testing of High-speed CMOS True Random Number Generators based on Chaotic Systems”, in IEEE Transactions on Circuits and Systems I - Regular Papers, Vol. 57, No 12, pp. 3124-3137. December 2010 - doi: 10.1109/TCSI.2010.2052515
Fabio Pareschi, Riccardo Rovatti, and Gianluca Setti, “On Statistical Tests for Randomness included in the NIST SP800-22 test suite and based on the Binomial Distribution”, in IEEE Transactions on Information Forensics and Security, Vol. 7, No. 2, pp. 491-505. April 2012 - doi: 10.1109/TIFS.2012.2185227
A. Caprara, F. Furini, A. Lodi, M. Mangia, R. Rovatti, G. Setti, G., "Generation of Antipodal Random Vectors With Prescribed Non-Stationary 2-nd Order Statistics," Signal Processing, IEEE Transactions on, vol.62, no.6, pp.1603-1612, March, 2014 - doi: 10.1109/TSP.2014.2302737