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Tutorial Sessions

We cordially invite our prospective participants for tutorial sessions held during the Signal Processing Symposium 2017.

The tutorial sessions are co-organized by SPSympo-2017 Organizing Committee and IEEE Polish Chapter of Signal Processing Society

Tutorial title: “Imaging radar: an all weather all day e.m. camera”

Topic list (preliminary):

  • Fundamental of coherent radar: principles, radar signal, architecture
  • Basic concept of radar imaging
  • Signal model
  • Range Doppler technique
  • Spatial resolution
  • Image Autofocusing and cross-scaling algorithms
  • Experimental results
  • Advanced techniques and their applications

Estimated duration: ~ 1,5h


Radar system allows detection and tracking of non-coopertive target making use of ElectroMagnetic (e.m.) reflection of target illuminated by the transmitted signal.
In the last 20 years, the radar has shown rapidly technological progresses and a consequent improvement of the performance. Current wide band radars are now able to reconstruct microwave images of the targets thanks to their high spatial resolution capabilities.
The tutorial focuses on fundamentals of radar imaging aiming at demonstrating that the radar behaves as a camera producing e.m. image in any meteo and day and night conditions.
The main common Range-Doppler technique will be explained and some critical aspects related to image focusing and cross-range scaling mentioned.
Which are the differences between an ElctroOptical camera and and imaging radar? Answer to this simple question will be addressed.
The tutorial will conclude with an excursus of the advanced and recent imaging techniques with application to real data.

Prof. Fabrizio Berizzi was born in Piombino (Italy) on 25-th of November 1965.
He received the electronic engineering and Ph.D. degrees from the University of Pisa (Italy) in June 1990 and September 1994 respectively. He became an University researcher in 1992 and he was promoted to Associate Professor in October 2000. Since December 2009, he has been a full professor on Electronic and Telecommunication Engineering at the University of Pisa. He has served the Italian Navy as a junior Lieutenant from April 1991 to July 1992. Now his Navy officer activity is suspended but he is still in force with the Italian Navy as Lieutenant degree.
He has been an IEEE senior member since 2006. He has been the Italian Academic national representative of the NATO SET panel member since 30th of April 2014. He is co-chair of the NATO SET 196 task group and member of the NATO SET 195, 207, 227, 215. He is one of the lectures of the NATO Lecture Series 243 on “ Passive radar technologies”. He was the Local Host organizer of the NATO SET Fall 2015 Panel Business meeting that was held in Pisa on October 2015.
He is the Italian academic member in the EDA Captech RADAR. Since September 2014, he has been the Italian academic representative of the Scalable Multifunction Radio Frequency (SMRF) Umbrella Management Group (UMG) and Technical Support Group) in EDA.
He is the head of the Radar Laboratory of the University of Pisa (Italy) an the Deputy Director of the Radar and Surveillance System (RaSS) laboratory of the CNIT (National Inter-university consortium for Telecommunication) in Italy.
His main research interests are in the field of radar system design and signal processing and specifically in radar imaging (SAR/ISAR/InSAR,3D imaging), polarimetric, passive, Over the Horizon, multichannel/multistatic, cognitive radars.
He is the author of more than 100 scientific papers in the most prestigious international Journal (IEEE AES, SP, IP, GRSS, IET RSN, etc.) and of several books the last of which is the “Radar imaging for maritime observation” published by CRC press (USA) on June 2016 and awarded as the “outstanding IRF book of the year” by the Information Research Foundation (IRF) (USA).
He have been giving short courses and tutorials around the world at several international Universities and institutes (Univ. of Melbourne, Adelaide, Cape Town, Warsaw, Southampton, KAST (Saudi Arabia), DSTO (AUS), IEEE RADAR conferences, IRS and EURAD international conference and many others.

Tutorial title: “Signal analysis in biomedical applications”

Topic list (preliminary):

  • Biosignals in medical IoT ecosystem
  • Mathematics behind biosignal analysis
  • Applications of biosignal analysis
  • Analysis of brain electrical activity, Epileptic seizure detection, prediction and control
  • Fuzzy logic for Alzheimer Disease diagnostics
  • Respiration data analysis
  • Heart rate variability analysis
  • Muscle synergies analysis

Estimated duration: ~ 1h – 2h


A constant interest growth is observed in the area of exploring the data from human body. Wide range of tools is available for registering biosignal in various modalities, thus analyzing such data using various mathematical techniques is of great importance. In the tutorial, the general overview of the biomedical systems and signal types will be presented, with emphasize on the origin and characteristics of each particular signal and the concepts of biosignal treatment in the medical IoT framework.
The overview of mathematical tools used for biosignal analysis will be presented. Four classes of methods, i.e. linear, nonlinear, uni- and multivariate techniques will be discussed with examples. Applications of biosignal analysis will be presented. Among the topics, analysis of brain electrical activity, epileptic seizure prediction using machine learning, development of fuzzy inference system for early diagnostics of Alzheimer’s Disease, and contactless registration of human respiration from video in visible range will be described in details.

Dr. Anton Popov (MSc 2003, PhD 2007) is the Associate Professor of Physical and Biomedical Electronics Department, National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute” (Kyiv, Ukraine). He is the chair of Biomedical Electronics and Signal Analysis Group, and has over fifteen years experience in applications of mathematical methods to biosignal analysis. Research interests include analysis of brain and heart activity.

Tutorial title: “Subspace Identification”


In this tutorial Subspace Techniques (ST) for identifying linear time invariant state space models from input-output data are revised. ST do not require a parametrization of the system matrices and therefore are less prone to problems related to local minima that often hamper succesful application of parametric optimization based identification methods. The overview follows the historic line of development. It starts from Kronecker’s result on the representation of an infinite power series by a rational function and then addresses respectively the deterministic realization problem, its stochastic variant and finally the identification of a state space model given in innovation form. The tutorial summarizes the fundamental algorithmic principles of key methods over 3 decades of research in this field and gives a glimps on potential future research directions.

Michel Verhaegen received an engineering degree in aeronautics from the Delft University of Technology, The Netherlands, in August 1982, and the doctoral degree in applied sciences from the Catholic University Leuven, Belgium, in November 1985. From 1985 on he held different research positions at NASA, TU Delft, Uppsala, McGill, Lund and the German Aerospace Laboratory. In 1999 he became professor in Systems and Control Engineering at the faculty of Applied Physics of the university of Twente in the Netherlands in 1999. From 2001 on Prof. Verhaegen has been appointed full time professor at the the Delft University of Technology where he was one of the founders of the new Delft Center for Systems and Control.
Prof. Verhaegen received a Best Presentation Award at the American Control Conference, Seattle, WA, 1986 and a Recognition Award from NASA in 1989. He is currently holding an ERC Advanced grant. As stated here such "grants are designed to support excellent Principal Investigators at the career stage at which they are already established research leaders with a recognised track record of research achievements. Applicant Principal Investigators must demonstrate the ground-breaking nature, ambition and feasibility of their scientific proposal."