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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
Module Telecommunications
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
        Contents of lectures Introduction to theory of array processing of acoustical signals. Mathematical modeling of acoustical signals on microphone array (planar and spherical waves). Spatial filtration (beamforming and null-steering). Direction of Arrival (DOA) estimation of acoustical waves and geolocalization of acoustical sources (two and one-step localization methods). MUSIC method. Adaptive microphone arrays. Acoustical spatio-temporal channel models. Principles of acoustical space-time communications. Acoustical MIMO channel sounders. Application of acoustical array processing in acustic camera. Identification and characterization of sound and vibration sources based on application of acustic camera. Medical application of acoustic array processing.
        Contents of exercises Lecture, mentor work, practical work, projects
        Literature
        1. Hary L. Van Trees Optimum array processing, part IV of Detection, Estimation and modulation Tehory Wiley Interscience 2002
        2. S. Chandran Advances in Direction-of-Arrival Estimation Artech House Inc. 2006
        3. M. Brandstein D.Ward Microphone Arrays: Signal Processing Techniques and Applications Springer, 2006Theory Wiley Interscience 2002.
        Number of hours per week during the semester/trimester/year
        Lectures Exercises OTC Study and Research Other classes
        6
        Methods of teaching
        Knowledge score (maximum points 100)
        Pre obligations Points Final exam Points
        Activites during lectures Test paper 70
        Practical lessons Oral examination 30
        Projects
        Colloquia
        Seminars