Selected Model Based Architectures and Algorithms for Learning, Signal Processing and Optimization

1. Schur Parametrization and Orthogonal Modeling of p-Stationary Second-Order Stochastic Processes 2. Efficient DOA algorithms using multi-dimensional high-resolution Fourier transform 3. Wireless localization systems 4. Towards generating Palladio performance models from PIM and PSM models 5. Architecture of Dependency-Noise Ensemble for statistic-based diversification of multiple classifier systems 6. Model of active noise reduction system with adaptive filtering algorithms applied to automotive 7. A novel approach to learning and designing neural networks-based ensemble 8. Model based scheduling algorithm for transport and assembly of construction processes 9. Preference falsification: Insights from Monte Carlo simulations of an agent-based model with a Hamiltonian