Fræser is a framework for estimating the parameters of static and dynamic errors-in-variables systems with the opportunity to compare various errors-in-variables parameter estimation algorithms via simulations. It features a graphical user interface and several examples for simultaneously estimating model and noise parameters.
The framework incorporates the following linear and nonlinear estimation methods for static and dynamic systems:
* model parameter estimation for static systems
o Koopmans method
* linear model and noise parameter estimation for dynamic systems
o (extended) instrumental variables method (XIV)
o bias-compensating least-squares method (BCLS)
o Frisch scheme (FS)
o generalized Koopmans-Levin method (GKL)
* nonlinear model parameter estimation for static systems
o nonlinear Koopmans method (NK)
o approximated maximum likelihood method (AML)
* nonlinear model and noise parameter estimation for dynamic systems
o bias-compensated least squares method (BCLS)
o nonlinear Koopmans-Levin method (NKL)
o nonlinear extennonlinear extension to generalized Koopmans-Levin method (NGKL)
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ReSP is an MPSoC simulation platform working at a high abstraction level; components used by ReSP are based on SystemC and TLM hardware and communication description libraries. ReSP provides a non-intrusive framework to manipulate SystemC and TLM objects. The simulation platform is built using Python programming language; its reflective capabilities augment the platform with the possibility of observing the internal structure of the SystemC component models. This feature enables run-time composition and dynamic management of the architecture under analysis. The full potentialities offered by the integration among Python and SystemC are exploited, during simulation, to query, examine and, possibly, modify the internal status of the hardware models. These capabilities simplify the debugging process for both the modeled hardware architecture and the software running on it.
G. Amdahl. Proceedings of the April 18-20, 1967, Spring Joint Computer Conference, page 483–485. New York, NY, USA, Association for Computing Machinery, (1967)