13D031OSM - Array Processing of Acoustical Signals on Microphone Arrays

Course specification
Course title Array Processing of Acoustical Signals on Microphone Arrays
Acronym 13D031OSM
Study programme Electrical Engineering and Computing
Type of study doctoral studies
Lecturer (for classes)
    Lecturer/Associate (for practice)
      Lecturer/Associate (for OTC)
        ESPB 9.0 Status elective
        Condition none
        The goal Introduction of PhD students with principles, theoretical concepts and algorithms for array processing of acoustical signals on microphone arrays.
        The outcome It is expected that PhD students are trained in basics of array processing of acoustical signals on microphone arrays and trained in independent research activities in that field.
        Contents of lectures Introduction to theory of array processing of acoustical signals. Acoustic signals models on microphone arrays. Spatial filtration. Direction of Arrival and location estimation.. Adaptive microphone arrays. Acoustic channel models. Acoustical MIMO. .Acoustic camera. Identification and characterization of sound and vibration sources based on application of acoustic camera.
        Contents of exercises Lecture, mentor work, practical work, projects
        1. M. Brandstein D.Ward Microphone Arrays: Signal Processing Techniques and Applications Springer, 2006Theory Wiley Interscience 2002
        2. Miljko Eric, Nenad Vukmirovic, "Introduction to antenna array signal processing", Akademska misao, 2019
        3. Hary L. Van Trees Optimum array processing, part IV of Detection, Estimation and modulation Tehory Wiley Interscience 2002
        Number of hours per week during the semester/trimester/year
        Lectures Exercises OTC Study and Research Other classes
        Methods of teaching Lectures, practical work, projects
        Knowledge score (maximum points 100)
        Pre obligations Points Final exam Points
        Activites during lectures Test paper 70
        Practical lessons Oral examination 0
        Seminars 30