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

The book is a collection of scientific works presenting the diversity of research conducted in the discipline of Technical Computer Science by researchers from Wrocław University of Science and Technology. It aims to familiarize the wider academic community with the profile of research undertaken in the face of contemporary challenges of the model-based architectures construction as well as information processing algorithms.

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