Schlo Birlinghoven

Publications of Schlo Birlinghoven

• Independent Component Analysis of Non-invasively Recorded Cortical Magnetic DC-fields in Humans

  Authors: Andreas Ziehe, Guido Nolte, Bruno-Marcel Mackert, Gabriel Curio, Gmd Forschungszentrum, Informationstechnik Gmbh, Schlo Birlinghoven

  01/1999;

  Artifacts in magnetoneurography (MNG) data due to endogenous biological noise sources, e.g. heart signal, can be four orders of magnitude higher than the signal of interest. Therefore it is importantArtifacts in magnetoneurography (MNG) data due to endogenous biological noise sources, e.g. heart signal, can be four orders of magnitude higher than the signal of interest. Therefore it is important to establish effective artifact reduction methods. We propose a blind source separation algorithm using only second order temporal correlations for cleaning bio-magnetic measurements of evoked responses in the peripheral nervous system. The algorithm showed its efficiency by eliminating disturbances originating from biological and technical noise sources and successfully extracting the signal of interest. This yields a significant improvement of the neuro-magnetic source analysis. Keywords Biomedical data processing, Artifact reduction, Biomagnetism, Magnetoneurography, Blind source separation, Independent component analysis. Acknowledgment We acknowledge valuable discussions with members of the Biophysics Group at PhysikalischTechnische Bundesanstalt (PTB) Berlin. All MNG studies were p...

• Microcontroller Selection Based on Retargetable Performance Prediction

  Authors: Paul G. Plöger, Gmd Forschungszentrum, Informationstechnik Gmbh, Schlo Birlinghoven, Heinrich Theodor Vierhaus, Enburgische Technische Universität Cottbus

  11/1997;

  In embedded system design the selection of an adequate controller is an decisive step. The demands of the application must be characterized and should match the candidate processor. We base thisIn embedded system design the selection of an adequate controller is an decisive step. The demands of the application must be characterized and should match the candidate processor. We base this selection on performance predictions and instruction set modeling. In this article we describe a way to automatically characterize controllers together with their respective compilers on the basis of a generic assembler. A generator produces test benches to measure and tabulate instruction timings on different CPUs. These are then used to predict the runtimes of the whole application running on the target hardware. Results for the table generation process, predictions and comparisons of different choices are given at hand of typical examples. 1 Introduction Especially in small and medium-sized companies a common methodology for the design of embedded systems proceeds as follows. Take a well-established development system and an existing system realization, change some necessary details and ch...