Signal Processing / Acoustic Camera

The Signal Processing group researches and develops new algorithms as well as hardware and software solutions for multi-channel measuring systems. Our expertise includes the sample-synchronous acquisition, presentation and analysis of large data sets using high sampling frequencies and data transfer rates.

Areas of application are vibration analysis, noise reduction, sound design and quality assurance in the automotive industry, environmental technology in room acoustics and architectural acoustics. An outstanding result of our work is the invention and development of the first Acoustic Camera, a system to visualize sound source.

Profile

    • Development of high-channel measuring systems
    • Software development to display and analyze large amounts of data
    • Development of new algorithms in signal processing
    • Simulation and development of beamforming and holography systems (Acoustic Camera)
    • Multi-channel intensity measurement technology
    • Equipment for test rigs (aeroacoustic wind tunnel, engine test stand, test track) with high-channel measurement technology

    Research Projects

    NahMi


    Near-field microphone arrays for sound intensity mapping
    Development of new methods for acoustic mapping of the sound intensity using hand-held near-field microphone arrays

    Funded by: Federal Ministry for Economic Affairs and Energy (BMWi) / INNO-KOM-Ost (MF), funding code: MF 140211

    MicLayOut


    Layout of application-specific microphone arrays

    Development of new algorithmic methods for the time-efficient generation of user-specific microphone array layouts

    Funded by: Federal Ministry for Economic Affairs and Energy / INNO-KOM-Ost (MF); funding code: MF 140115

    ModulAr


    Modular array geometries

    Development of a new, modular microphone array system for noise source mapping, which is the technological foundation for a next generation of acoustically optimized array systems based on microphones with a digital interface.

    Funded by: Federal Ministry for Economic Affairs and Energy / INNO-KOM-Ost (MF); funding code: MF 150212