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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.