Institute
Holger Blume

Prof. Dr.-Ing. Holger Blume

Prof. Dr.-Ing. Holger Blume
Address
Appelstr. 4
30167 Hannover
Prof. Dr.-Ing. Holger Blume
Address
Appelstr. 4
30167 Hannover

Career

Holger Blume, born in 1967, studied electrical engineering at the University of Dortmund from 1987 to 1992. During his studies he was a scholarship holder of the German National Academic Foundation. From 1993 to 1996 he was a research assistant in the Circuits for Information Processing group at the University of Dortmund (Prof. Dr. H. Schröder). From 1996-1998 he was employed as a research associate at the Informatik Centrum Dortmund (ICD). In 1997, he received his PhD with honors from the University of Dortmund on the topic of "Nonlinear Fault-Tolerant Interpolation of Intermediate Images".

From 1998 to 2008, he worked first as a senior engineer and later as an academic senior councillor at the Department of General Electrical Engineering and Data Processing Systems at RWTH Aachen University (Prof. Dr. T. G. Noll). In February 2008 he habilitated there with a thesis on "Exploration of the Design Space for Heterogeneous Architectures for Digital Video Signal Processing".

In July 2008, he followed a call to Leibniz Universität Hannover where he has been working since then as professor for "Architectures and Systems" and as managing director of the Institute for Microelectronic Systems (IMS).

  • Publications

    Showing entries 1 - 20 out of 335
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    Mobile SARS‑CoV‑2 screening facilities for rapid deployment and university‐based diagnostic laboratory. / Stanislawski, Nils; Lange, Ferdinand; Fahnemann, Christian et al.

    In: Engineering in life sciences, 03.01.2023.

    Research output: Contribution to journalArticleResearchpeer review

    Predictive accuracy of CNN for cortical oscillatory activity in an acute rat model of parkinsonism. / Ali, Ali Abdul Nabi; Alam, Mesbah; Klein, Simon et al.

    In: NEURAL NETWORKS, Vol. 146, 02.2022, p. 334-340.

    Research output: Contribution to journalArticleResearchpeer review

    Fault-tolerant Radar Signal Processing using Selective Observation Windows and Peak Detection. / Beyer, Michael; Guntoro, Andre; Blume, Holger.

    30th European Signal Processing Conference, EUSIPCO 2022 - Proceedings. European Signal Processing Conference, EUSIPCO, 2022. p. 1876-1880 (European Signal Processing Conference; Vol. 2022-August).

    Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

    Vascular implants – new aspects for in situ tissue engineering. / Blume, Cornelia; Kraus, Xenia; Heene, Sebastian et al.

    In: Engineering in life sciences, Vol. 22, No. 3-4, 03.2022, p. 344-360.

    Research output: Contribution to journalReview articleResearchpeer review

    Interactive Synthetic Aperture Radar Simulator Generating and Visualizing Realistic FMCW Data. / Fahnemann, Christian; Rother, Niklas; Blume, Holger Christoph.

    Radar 2022 International Conference on Radar Systems (IET). IET, 2022.

    Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

    A Survey on Application Specific Processor Architectures for Digital Hearing Aids. / Gerlach, Lukas Konrad; Payá Vayá, Guillermo; Blume, Holger Christoph.

    In: Journal of Signal Processing Systems, Vol. 94, No. 11, 11.2022, p. 1293-1308.

    Research output: Contribution to journalArticleResearchpeer review

    Combined Prospective Seroconversion and PCR Data of Selected Cohorts Indicate a High Rate of Subclinical SARS-CoV-2 Infections-an Open Observational Study in Lower Saxony, Germany. / Jonczyk, Rebecca; Stanislawski, Nils; Seiler, Lisa K et al.

    In: Microbiology spectrum, Vol. 10, No. 1, e01512-21, 02.2022.

    Research output: Contribution to journalArticleResearchpeer review

    Comparison of two antibody screening systems for SARS-CoV-2 antibody detection in recovered and vaccinated subjects : test performance and possible indicators for immunity. / Jonczyk, Rebecca; Stanislawski, Nils; Seiler, Lisa K et al.

    In: Journal of Clinical Virology, Vol. 157, 105322, 12.2022.

    Research output: Contribution to journalArticleResearchpeer review

    SmartHeaP : A High-level Programmable, Low Power, and Mixed-Signal Hearing Aid SoC in 22nm FD-SOI. / Karrenbauer, Jens Christian; Klein, Simon Christian; Schönewald, Sven Johannes et al.

    ESSCIRC 2022- IEEE 48th European Solid State Circuits Conference (ESSCIRC). IEEE, 2022. p. 265-268.

    Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

    Methodology for an Early Exploration of Embedded Systems using Portable Test and Stimulus Standard. / Kautz, Frederik; Blume, Holger; Sauer, Christian.

    35th SBC/SBMicro/IEEE/ACM Symposium on Integrated Circuits and Systems Design, SBCCI 2022 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2022.

    Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

    Recent advances in melt electro writing for tissue engineering for 3D printing of microporous scaffolds for tissue engineering. / Loewner, Sebastian; Heene, Sebastian; Baroth, Timo et al.

    In: Frontiers in Bioengineering and Biotechnology, Vol. 10, 896719, 17.08.2022.

    Research output: Contribution to journalReview articleResearchpeer review

    Self-Supervised Velocity Estimation for Automotive Radar Object Detection Networks. / Niederlohner, Daniel; Ulrich, Michael; Braun, Sascha et al.

    2022 IEEE Intelligent Vehicles Symposium (IV). Institute of Electrical and Electronics Engineers Inc., 2022. p. 352-359.

    Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

    Children and Adolescents' Behavioral Patterns in Response to Escalating COVID-19 Restriction Reveal Sex and Age Differences. / Paulsen, Mira; Zychlinsky Scharff, Anna; de Cassan, Kristof et al.

    In: Journal of adolescent health, Vol. 70, No. 3, 03.2022, p. 378-386.

    Research output: Contribution to journalArticleResearchpeer review

    Implementing Synthetic Aperture Radar Backprojection in Chisel – A Field Report. / Rother, Niklas; Fahnemann, Christian; Blume, Holger Christoph.

    Embedded Computer Systems: Architectures, Modeling, and Simulation - 22nd International Conference, SAMOS 2022, Proceedings. ed. / Alex Orailoglu; Marc Reichenbach; Matthias Jung. Springer International Publishing AG, 2022. p. 28-42 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13511 LNCS).

    Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

    Automatically Controlled Flow and Pressure Conditions in a Bioreactor System for Medium- to Large-Sized Tissue-Engineered Vascular Grafts. / Stanislawski, Nils; Lindwedel, Noah; Blume, Cornelia et al.

    2022 IEEE Biomedical Circuits and Systems Conference (BioCAS). 2022. p. 297-301.

    Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

    Design and Evaluation of a 180 nm Powerline Communication ASIC for Harsh Environment. / Stuckenberg, Tobias; Rücker, Malte; Gottschlich, Michel et al.

    In: Microprocessors and Microsystems, Vol. 97, 104742, 03.2023.

    Research output: Contribution to journalArticleResearchpeer review

    Improved Orientation Estimation and Detection with Hybrid Object Detection Networks for Automotive Radar. / Ulrich, Michael; Braun, Sascha; Köhler, Daniel et al.

    2022.

    Research output: Working paper/PreprintPreprint

    Improved Calibration Procedure for Wireless Inertial Measurement Units without Precision Equipment. / Webering, Fritz; Kleinjohann, Sarah; Stanislawski, Nils et al.

    2022.

    Research output: Working paper/PreprintPreprint

    Modeling and Error Analysis in Camera-Based Jump Height Measurement. / Webering, Fritz; Emamzadehei, Leili; Blume, Holger.

    In: Current Directions in Biomedical Engineering, Vol. 8, No. 2, 02.09.2022, p. 624-627.

    Research output: Contribution to journalArticleResearchpeer review

    A Silicon-Proof Controller System for Flexible Ultra-Low-Power Energy Harvesting Platforms. / Weisbrich, Moritz; Blume, Holger; Paya-Vaya, Guillermo.

    2022 11th International Conference on Modern Circuits and Systems Technologies (MOCAST). Institute of Electrical and Electronics Engineers Inc., 2022.

    Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

    Showing entries 1 - 20 out of 335
    1 2 3 4 5 6 7 Last
  • Research Projects

    Processor Architectures

    • High Temperature Measurement While Drilling
      The goal of the research is an MWD processor system for drilling tools used for geothermal drilling in ambient temperatures up to 300 °C. The processing of the project includes research aspects in the fields of hardware design, fault tolerance of digital systems and ASIC design.
      Led by: Prof. Dr.-Ing. H. Blume
      Team: Dipl.-Ing. Rochus Nowosielski
      Year: 2014
      Duration: 2012-2014
    • GEBO - High Temperature Electronic
      In this project, the design of mixed-signal circuits for signal processing is studied under high temperature conditions. For this, research on analog circuits and digital signal processing architectures will be conducted in order to adapt common design approaches to the requirements of high temperature technology.
      Led by: Prof. Dr.-Ing. H. Blume
      Team: Dipl.-Ing. Rochus Nowosielski
      Year: 2014
      Duration: 2009-20111
    • OPARO
      In the development of integrated, programmable circuits, the optimization of power dissipation and temperature distribution is becoming increasingly important. So far, however, these can only be determined by very time-consuming simulations. Therefore, precise models for the determination of power dissipation shall be developed and mapped together with the functional emulation on FPGAs. By accelerating the determination of power dissipation and temperature distribution, specific optimizations of the architecture and the application code can then be made taking real input data into account.
      Led by: Prof. Dr.-Ing. H. Blume
      Team: Dipl.-Wirtsch.-Ing. Sebastian Hesselbarth
      Year: 2014
    • Hearing4All
      The joint venture "Hearing4all" that the IMS-AS participates in with multiple sub-projects, has been chosen as one of the federal cluster of excellence projects Friday June 15th 2012. In the scope of this project the IMS-AS aims to develop high-performance and low-power processor architectures for digital hearing systems, such as cochlear implants or hearing aids.
      Led by: Prof. Dr.-Ing. H. Blume, Jun.-Prof. Dr.-Ing. G. Payá-Vayá
      Team: M.Sc. C. Seifert, Dipl.-Ing. L. Gerlach
      Year: 2015
      Duration: November 2012 - December 2018
    • Stochastic Processor
      Stochastic computing has recently emerged as a promising approach for designing energy-efficient embedded hardware systems, taking into account the ability of many applications (e.g., computer vision) to tolerate the loss of precision in the computed results. Rather than designing the hardware for worst case scenarios featuring expensive guard-bands, designers can relax the implementation constraints and deliberately expose hardware variability, obtaining significant processing performance improvements and energy benefits.
      Led by: Jun.-Prof. Dr.-Ing. G. Payá-Vayá, Prof. Dr.-Ing. Holger Blume
      Team: M.Sc. Moritz Weißbrich
      Year: 2015
      Funding: Deutsche Forschungsgemeinschaft (DFG)
      Duration: February 2016 - January 2019
    • TETRACOM
      Nowadays, continuous development of digital signal processing applications, e.g., video-based advanced driver assistance systems, are pushing the limits of existing embedded systems and are forcing system developers to spend more time on code optimization. These applications often involve complex mathematical functions like trigonometric, logarithmic, exponential, or square root operations. In particular, these functions can only efficiently be computed on standard general purpose embedded processors, using highly optimized, processor specific arithmetic evaluation software libraries. Another alternative is to extend the embedded processor architectures with a specific hardware accelerator.
      Led by: Jun.-Prof. Dr.-Ing. G. Payá-Vayá
      Team: Dipl.-Ing. S. Nolting, Dipl.-Ing. L. Gerlach
      Year: 2016
      Duration: January 2016 - July 2016
    • Multi-Energy Harvesting (MEH) - A Flexible Platform for Energy Harvesting in Home Automation
      In this project, a platform concept for intelligent home automation components is developed, which can serve as a basis for next-generation sensors and actors. The main characteristic of this platform concept is ultra-low power consumption and ultra-low voltage operation. In combination with harvested energy from multiple sources (multi-energy harvesting), an extended lifetime and reduced battery cell requirements become possible compared to current systems.
      Led by: Prof. Dr.-Ing. H. Blume, Prof. Dr.-Ing. B. Wicht, apl. Prof. Dr.-Ing. G. Payá Vayá
      Team: M.Sc. Moritz Weißbrich, M.Sc. Lars-Christian Kähler
      Year: 2019
      Funding: BMBF
      Duration: October 2018 - March 2021

    Analog/Mixed-Signal-Design

    • GEBO - High Temperature Electronic
      In this project, the design of mixed-signal circuits for signal processing is studied under high temperature conditions. For this, research on analog circuits and digital signal processing architectures will be conducted in order to adapt common design approaches to the requirements of high temperature technology.
      Led by: Prof. Dr.-Ing. H. Blume
      Team: Dipl.-Ing. Rochus Nowosielski
      Year: 2014
      Duration: 2009-20111
    • Multi-Energy Harvesting (MEH) - A Flexible Platform for Energy Harvesting in Home Automation
      In this project, a platform concept for intelligent home automation components is developed, which can serve as a basis for next-generation sensors and actors. The main characteristic of this platform concept is ultra-low power consumption and ultra-low voltage operation. In combination with harvested energy from multiple sources (multi-energy harvesting), an extended lifetime and reduced battery cell requirements become possible compared to current systems.
      Led by: Prof. Dr.-Ing. H. Blume, Prof. Dr.-Ing. B. Wicht, apl. Prof. Dr.-Ing. G. Payá Vayá
      Team: M.Sc. Moritz Weißbrich, M.Sc. Lars-Christian Kähler
      Year: 2019
      Funding: BMBF
      Duration: October 2018 - March 2021

    Design Space Exploration

    • EFdiS – Use of airborne SAR with digital interface
      The goal of this research project is the processing of FMCW sensor signals. The first step is intended to digitize the analog data on board through a suitable expansion card. In the second step, the digitized data is to be processed on board, and thus converted to an aerial image.
      Led by: Prof. Dr.-Ing. H. Blume
      Team: Dipl.-Ing. M. Wielage
      Year: 2014
      Duration: October 2012 - December 2014
    • OPARO
      In the development of integrated, programmable circuits, the optimization of power dissipation and temperature distribution is becoming increasingly important. So far, however, these can only be determined by very time-consuming simulations. Therefore, precise models for the determination of power dissipation shall be developed and mapped together with the functional emulation on FPGAs. By accelerating the determination of power dissipation and temperature distribution, specific optimizations of the architecture and the application code can then be made taking real input data into account.
      Led by: Prof. Dr.-Ing. H. Blume
      Team: Dipl.-Wirtsch.-Ing. Sebastian Hesselbarth
      Year: 2014
    • Digital Video-processing for automation in agriculture
      Within this project, algorithms are developed, architectures explored and a final hardware-platform designed and evaluated. The overall system will be tested in a field test.
      Led by: Prof. Dr.-Ing. H. Blume
      Team: J. Hartig, S. Gesper
      Year: 2019
      Duration: a 2017-2019
    • Compact Realtime SAR-Image processor
      The goals of this project are the generation and compression of high resolution Synthetic Aperture Radar (SAR) images under real time conditions. Compared to camera based electro-optical sensors, a SAR system operates almost independent from daylight and weather conditions. State-of-the-art SAR sensor systems achieve spatial resolutions up to 10 cm at 10 km altitude. By using FPGAs for high performance digital signal processing tasks, aerial images can be generated in real time even in case of very large image dimensions.
      Led by: Prof. Dr.-Ing. H. Blume
      Team: F. Cholewa, C. Fahnemann, N. Rother
      Year: 2020
      Duration: 2008-2020

    Driver Assistance Systems

    • OpenFAS
      In the scope of this project, a library of modules for driver assistence systems, based on a multicore processor architecture will be created. The project is in collaboration with the videantis corporation.
      Led by: Prof. Dr.-Ing. Holger Blume
      Team: Dipl.-Ing. Christopher Bartels
      Year: 2012
      Funding: "Zentrales Innovationsprogramm Mittelstand" des Bundesministeriums für Wirtschaft und Technologie (BMWi)
      Duration: Juni 2012 - Oktober 2013
    • DESERVE - Development Platform for Safe and Efficient Drive
      DESERVE is a project funded by the European Union. The aim of the project is the promotion and evolution of advanced driver assistance systems (ADAS). These systems are devoted to support the driver in the safe control of the vehicle. For this purpose, the DESERVE platform is planned to be developed. This platform will be the base for future development of advanced driver assistance systems in Europe.
      Led by: Prof. Dr.-Ing. H. Blume, apl. Prof. Dr.-Ing. G. Payá Vayá
      Team: Florian Giesemann, Frank Meinl, Nico Mentzer
      Year: 2013
      Funding: Europäische Union, Bundesministerium für Bildung und Forschung
      Duration: September 2012 - August 2015
    • ASEV
      The goal of this sub-project of the BMBF project "Automatic Situation Interpretation for Event Triggered Video Surveillance" is to elaborate a concept for a hardware architecture that enables a SIFT (Scale Invariant Feature Transform) feature extraction under application-specific processing conditions as performance and power consumption. SIFT features offer a good basis for robust object identification and tracking for event triggered video surveillance. The field of application is thereby the airport apron, which is highly relevant to security. The concept was implemented on a FPGA-based hardware platform to build a demonstrator which was tested at the end of the project at the airport of Braunschweig.
      Led by: Prof. Dr.-Ing. H. Blume, Jun.-Prof. Dr.-Ing. G. Payá-Vayá
      Team: Dipl.-Ing. Nico Mentzer
      Year: 2014
      Funding: Bundesministerium für Bildung und Forschung (BMBF)
      Duration: Mai 2010 - April 2013
    • Efficient Hardware Architectures for Fast Image Sequence Analysis
      In practice, general reliability of modern driver assistance systems under arbitrary traffic, weather and illumination conditions often is a problem. Because more robust algorithms are computationally very intensive, this project deals with the examination of heterogenous hardware architectures and the evaluation of new mechanisms for complex applications in the field of camera-based driver assistance.
      Led by: Prof. Dr.-Ing. H. Blume
      Team: Julian Hartig
      Year: 2014
      Funding: Hans L. Merkle Stiftung
      Duration: February 2014 - February 2017
    • mDAS - Implementation of a real-time demonstrator for multicore-based driver assistance systems
      The goal of this Project is the conceptual design of a real-time mutlicore-based demonstrator for video-based driver assistance algorithms. Therefore, different performance metrics will be displayed in order to compare platform-specific performance characteristics.
      Led by: Prof. Dr.-Ing. Holger Blume
      Team: Dipl.-Ing. Jakob Arndt
      Year: 2014
      Funding: Siemens AG
      Duration: February 2014 - August 2014
    • ZIM Dream Chip Technologies GmbH
      In cooperation with Dream Chip Technologies GmbH, Garben, Germany, the Institute of Microelectronic Systems develops with funding from the Federal Ministry of Economic Affairs and Energy a camera system with integrated algorithms for high quality real time motion estimation in the area of driver assistance systems.
      Led by: Prof. Dr.-Ing. H. Blume
      Team: Gregor Schewior, Nicolai Behmann
      Year: 2015
      Funding: Bundesministerium für Wirtschaft und Energie
      Duration: September 2015 - December 2016
    • THINGS2DO - THIN but Great Silicon 2 Design Objects
      THINGS2DO is an ENIAC project, funded by the European Union and the Federal Ministry of Education and Research. The project aims to develop the new Fully Depleted Silicon On Insulator (FD-SOI) technology and the corresponding tool environment for high efficient and highly integrated circuits. The capabilities of the technology are further demonstrated through a demonstrator in the area of Advanced Driver Assistance Systems (ADAS).
      Led by: Prof. Dr.-Ing. H. Blume
      Team: Gregor Schewior, Nicolai Behmann
      Year: 2016
      Funding: Europäische Union, Bundesministerium für Bildung und Forschung
      Duration: February 2016 - March 2018

    Biomedical Engineering

    • Real-time, low-latency sonification of complex movements
      The goal of this research project in the field of biomedical engineering is to generate an auditory feedback (sonification) of human movements. The IMS focuses on examing the performance of different hardware platforms for this application. Relevant performance parameters are the platforms power dissipation and the overall latency. Finally, the project goal is to enhance stroke rehabilitation by additionally providing auditory arm movement feedback. This could lead to shortened rehabilitation periods. Furthermore, the mobile hardware platform developed at the IMS allows home based rehabilitation.
      Led by: Prof. Dr.-Ing. Blume
      Team: Dipl.-Ing. (FH) H.-P. Brückner
      Year: 2013
      Funding: Europäischer Fonds für regionale Entwicklung (EFRE)
      Duration: February 2011 - June 2013
    • BIOFABRICATION for NIFE
      BIOFABRICATION for NIFE ist ein interdisciplinary research network between the Hanover Medical School, the Leibniz University of Hanover and the Hanover University of Music, Drama and Media. The goal of this research network is to achieve methods for growing biocompatible organic implants with heavily reduced rejection reactions.
      Led by: Prof. Dr.-Ing. Blume
      Team: Dipl.-Ing. Christian Leibold
      Year: 2014
      Funding: VolkswagenStiftung and County Lower Saxony
      Duration: May 2013 - June 2018
    • Hearing4All
      The joint venture "Hearing4all" that the IMS-AS participates in with multiple sub-projects, has been chosen as one of the federal cluster of excellence projects Friday June 15th 2012. In the scope of this project the IMS-AS aims to develop high-performance and low-power processor architectures for digital hearing systems, such as cochlear implants or hearing aids.
      Led by: Prof. Dr.-Ing. H. Blume, Jun.-Prof. Dr.-Ing. G. Payá-Vayá
      Team: M.Sc. C. Seifert, Dipl.-Ing. L. Gerlach
      Year: 2015
      Duration: November 2012 - December 2018
    • Optogenetic
      Within this cooperation with the Institute of Technical Chemistry and the Institute of Quantum Optics of the Leibniz Universität Hannover, methods are being studied to control the behavior of intracellular processes from the outside with light. Optogenetics can be used to specifically modify light-insensitive cells in order to respond to the influence of light. Due to the common previous experience between the project partners, especially optogenetic questions in the context of tissue engineering are focussed.
      Led by: Prof. Dr.-Ing. Holger Blume
      Team: Marc-Nils Wahalla, Dipl.-Ing.
      Year: 2016
    • Efficient Real-time Processing of EEG-Signals
      A brain-computer interface (BCI) is a system that generates signals to control an artificial system based on measurements of the activity of the central nervous system, for example, to replace, enhance or supplement certain tasks of human action. Modern BCIs are often based on the decoding or interpretation of EEG signals, as such systems are both non-invasive and cost-effectively available. These sensors detect a variety of independent, superimposed signals that make their immediate use for controlling a digital system difficult. Therefore, each application and corresponding application environment requires specifically designed and customized algorithms. This project therefore investigates methods for the efficient real-time processing of EEG signals. For this purpose, the Institute of Microelectronic Systems is developing a complete system of dedicated, configurable hardware in combination with a signal-processing framework specially adapted for the processing of EEG signals.
      Led by: Prof. Dr.-Ing. Holger Blume, Jun.-Prof. Dr.-Ing. G. Payá-Vayá
      Team: Marc-Nils Wahalla, Dipl.-Ing.
      Year: 2017
    • ZIM D-Sense - Development of a Testing System for the Diagnosis of Sensorimotor Regulation Abilities in Athletes
      The aim of the project is to develop a mobile diagnostics system which can be used to to assess the sensorimotor regulation abilities in athletes. The system should consist of multiple sensor units and allow the athlete or coach to quickly and precisely perform different functional sensorimotor tests. The sensor units can be placed at different points on or next to the subject's body, depending on the concrete test being performed. Also depending on the test, different algorithms are to be used for classifying and evaluating the measurements from the sensor units. A database helps the user to interpret the test results and provides reference values for risk assessments regarding injuries.
      Led by: Prof. Dr.-Ing. H. Blume
      Team: M.Sc. Fritz Webering
      Year: 2017
      Funding: „Zentrales Innovationsprogramm Mittelstand“ of the BMWi - Federal Ministry for Economic Affairs and Energy
      Duration: 2017-2019

    System Design

    • GEBO - High Temperature Electronic
      In this project, the design of mixed-signal circuits for signal processing is studied under high temperature conditions. For this, research on analog circuits and digital signal processing architectures will be conducted in order to adapt common design approaches to the requirements of high temperature technology.
      Led by: Prof. Dr.-Ing. H. Blume
      Team: Dipl.-Ing. Rochus Nowosielski
      Year: 2014
      Duration: 2009-20111
    • Efficient Real-time Processing of EEG-Signals
      A brain-computer interface (BCI) is a system that generates signals to control an artificial system based on measurements of the activity of the central nervous system, for example, to replace, enhance or supplement certain tasks of human action. Modern BCIs are often based on the decoding or interpretation of EEG signals, as such systems are both non-invasive and cost-effectively available. These sensors detect a variety of independent, superimposed signals that make their immediate use for controlling a digital system difficult. Therefore, each application and corresponding application environment requires specifically designed and customized algorithms. This project therefore investigates methods for the efficient real-time processing of EEG signals. For this purpose, the Institute of Microelectronic Systems is developing a complete system of dedicated, configurable hardware in combination with a signal-processing framework specially adapted for the processing of EEG signals.
      Led by: Prof. Dr.-Ing. Holger Blume, Jun.-Prof. Dr.-Ing. G. Payá-Vayá
      Team: Marc-Nils Wahalla, Dipl.-Ing.
      Year: 2017
    • ZIM D-Sense - Development of a Testing System for the Diagnosis of Sensorimotor Regulation Abilities in Athletes
      The aim of the project is to develop a mobile diagnostics system which can be used to to assess the sensorimotor regulation abilities in athletes. The system should consist of multiple sensor units and allow the athlete or coach to quickly and precisely perform different functional sensorimotor tests. The sensor units can be placed at different points on or next to the subject's body, depending on the concrete test being performed. Also depending on the test, different algorithms are to be used for classifying and evaluating the measurements from the sensor units. A database helps the user to interpret the test results and provides reference values for risk assessments regarding injuries.
      Led by: Prof. Dr.-Ing. H. Blume
      Team: M.Sc. Fritz Webering
      Year: 2017
      Funding: „Zentrales Innovationsprogramm Mittelstand“ of the BMWi - Federal Ministry for Economic Affairs and Energy
      Duration: 2017-2019

    Reconfigurable Architectures

    • Circuit Design and Physical Design for a Novel FPGA Architecture
      Evaluation and analysis of the implemtability and performance of a new type of field programmable gate array (FPGA).
      Led by: Prof. Dr.-Ing. H. Blume, apl. Prof. Dr.-Ing. G. Payá Vayá
      Team: B. Bredthauer, C. Spindeldreier
      Year: 2013
      Funding: Federal Ministry of Education and Reserach
      Duration: May 2013 - June 2014
    • TUKUTURI
      In the TUKUTURI-project, a for ASIC-synthesis optimized VHDL-description of a soft core processor architecture will be optimized for FPGA synthesis. The suitability of special functional units for specific applications with regard to performance and area consumption will be analyzed.
      Led by: Jun.-Prof. Dr.-Ing. G. Payá-Vayá
      Team: M. Sc. Florian Giesemann
      Year: 2014
      Funding: Wege in die Forschung II