Jan Zarzycki

According to our database, Jan Zarzycki authored at least 9 papers between 2004 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Generalized Tensor Covariance Nevanlinna-Pick Type Interpolation-The Orthogonal Solution for 4-th Order Stochastic Processes via the Schur Transform and LIS.

Jan Zarzycki, Urszula Libal, Stanislaw Gmyrek

Proceedings of the Signal Processing: Algorithms, 2025

Generalized Tensor Moment vs. Covariance Nevanlinna-Pick Type Interpolation for Higher-Order Stochastic Processes - Statement of the Problem.

Jan Zarzycki, Urszula Libal

Proceedings of the Signal Processing: Algorithms, 2025

2018

Fast Algorithms for the Schur- Type Nonlinear Parametrization of Higher-Order Stochastic Processes.

Agnieszka Wielgus, Jan Zarzycki

Proceedings of the 26th European Signal Processing Conference, 2018

2017

Efficient Schur parametrization of near-stationary stochastic processes.

Agnieszka Wielgus, Jan Zarzycki

Proceedings of the International Conference on Systems, Signals and Image Processing, 2017

2007

Lattice-structured schur-type elimination of narrow-band background disturbances from acoustic signals of vehicles in motion.

Maksymilian Gorski, Jan Zarzycki

Proceedings of the 15th European Signal Processing Conference, 2007

2005

Detection and tracking of non-stationary transient signals based on the innovations filter.

Maciej Lopatka, Olivier Adam, Christophe Laplanche, Jean-François Motsch, Jan Zarzycki

Proceedings of the 13th European Signal Processing Conference, 2005

2004

Multidimensional Nonlinear Schur Parametrization of NonGaussian Stochastic Signals Part Three: Low-Complexity Staircase Solution.

Jan Zarzycki

Multidimens. Syst. Signal Process., 2004

Multidimensional Nonlinear Schur Parametrization of NonGaussian Stochastic Signals, Part Two: Generalized Schur Algorithm.

Jan Zarzycki

Multidimens. Syst. Signal Process., 2004

Multidimensional Nonlinear Schur Parametrization of NonGaussian Stochastic Signals. Part One: Statement of the Problem.

Jan Zarzycki

Multidimens. Syst. Signal Process., 2004