Analysis and Processing of Audio Information

Course Description

Analysis and processing of audio information are important in all parts of modern communication systems and technologies. Therefore it is important to know: Detection and classification of acoustical signals. Time and frequency presentation of audio signals and systems. Theory and application of frequency analysis (MLSSA, TDS, ETC and similar). Autocorrelation function and spectrum of acoustical signals. Cross spectrum. Coherence. Functions of frequency response. Functions of impulse response. Cepstral analysis. Influence of room properties on impulse response in acoustical technologies. Visualisation of sound field. Synthesis of acoustical signal.

General Competencies

Deep understanding of the problems and solutions of acoustical signal processing, with applications regarding to the processing parameters in communication systems. Ability to analyze and synthesize acoustical signal. Theoretical and practical knowledge about methods and techniques in analysis and processing of audio information.

Learning Outcomes

  1. analyze different types of acoustic signals
  2. analyze the electroacoustic system using the input and output audio information
  3. apply different filters and filtering techniques
  4. apply the coherence of the signal
  5. apply the frequency response function
  6. analyze the space parameter impact on impulse response in acoustic technologies
  7. describe the visualization of sound field
  8. evaluate the synthesis of acoustic signals

Forms of Teaching


Lectures are held in two cycles, 2 hours per week. After each cycle assessment is carried out.


Continuous assessment is carried out through mid-term exams and final exams. Assessment on the examinations are carried out according to schedule.

Laboratory Work

Three laboratory exercises are provided, they are graded, and take place under the supervision of an assistant.


Demonstration of some phenomena that are topics at a lecture

Experimental Exercises

More complex demonstration of some phenomena that are topics at a lecture


Consultations take place according to agreement with the teacher


Individual work for selected topic from the area of the whole course

Grading Method

By decision of the Faculty Council, in the academic year 2019/2020. the midterm exams are cancelled and the points assigned to that component are transferred to the final exam, unless the teachers have reassigned the points and the grading components differently. See the news for each course for information on knowledge rating.
Continuous Assessment Exam
Type Threshold Percent of Grade Threshold Percent of Grade
Laboratory Exercises 0 % 15 % 0 % 15 %
Seminar/Project 0 % 15 % 0 % 15 %
Mid Term Exam: Written 0 % 20 % 0 %
Final Exam: Written 0 % 20 %
Final Exam: Oral 30 %
Exam: Written 0 % 40 %
Exam: Oral 30 %

Week by Week Schedule

  1. Introductory lecture
  2. The theory of frequency analysis - part one
  3. The theory of frequency analysis - part two
  4. The theory of frequency analysis - part three
  5. Generation and analysis of complex signals
  6. Filter Analysis
  7. Dual-channel analysis
  8. Mid-term exam
  9. Cepstrum
  10. Measurements on quadripols
  11. Visualization of sound field
  12. Synthesis of acoustic signals
  13. Transfer function of the rooms and acoustic virtualization
  14. Acoustic measurements of space
  15. Final exam

Study Programmes

University graduate
Electronics (profile)
Specialization Course (2. semester)


R. B. Randall (1987.), Frequency analysis, Bruel & Kjaer
M. Kahrs, Karlheinz Brandenburg (1998.), Applications of digital signal processing to audio and acoustics M. Kahrs, Kluwer Academic Publiser
S. V. Vashegi (2008.), Advanced digital signal processing and noise reduction, John Wiley & Sons Ltd
G. Longo, B. Picinbono (1989.), Time and frequency representation of signals and systems, Springer Verlag
Jens Trampe Broch (1981.), Principles of Analog and Digital Frequency Analysis, Tapir

Laboratory exercises


ID 91822
  Summer semester
L1 English Level
L1 e-Learning
30 Lectures
0 Exercises
6 Laboratory exercises
0 Project laboratory

Grading System

89 Excellent
74 Very Good
61 Good
50 Acceptable