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Special Sessions

Stochastic Realization and Orthogonal Signal Processing


Ogranizer: Prof. Jan Zarzycki - Wroclaw University of Science and Technology (Poland)
Co-organizer: Prof. Sankar Basu - National Science Foundation (USA)

The goal of this session is to bring together researchers working in that area for presentation and discussion of the current topics, results and directions of further research development. A scope, among others, will cover:

  • stochastic realization
  • Schur algorithm and its impact on the theory of operators as well as on signal processing
  • Levinson-like algorithms
  • Schur and Nevanlinna-Pick interpolation
  • reproducing kernel Hilbert spaces
  • de Branges spaces
  • orthogonal approximation of operators
  • lossless inverse scattering
  • maximum entropy spectral analysis
  • linear and nonlinear orthogonal digital filters
  • orthogonal parametrization and modeling of second- and higher-order stationary/nonstationary stochastic processes
  • parallel and pipelined implementations including array processing and wave-front array processors in VLSI implementations.



MAPIS Special Session


Chair: Prof. Fabrizio Berizzi - University of Pisa (Italy)
Co-chair: Prof. Maria-Pilar Jarabo-Amores - University of Alcala (Spain)

This session aims at presenting to the radar signal processing community the main novel scientific and technological results of the MAPIS project ( Multichannel passive ISAR imaging for military applications). MAPIS is a three years EDA (European Defence Agnecy) project aiming at studying, defining, analyzing a new system concept for implementing and demonstrating ISAR imaging capability in a plug-in multistatic array passive radar finalized to target recognition. The session is composed in several papers starting with an overview of the project, to the concept of passive bistatic ISAR imaging, the use ISAR images for classification, the DVB-T multichannel passive radar, the multistatic passive radar measurement system and finally to the detection signal processing complex chain. The results will show that imaging with passive radar is feasible with predictable performance.