Ing. Miroslav Balík, Ph.D.

Department of Telecommunications (UTKO)

Students get a detailed overview of procedures of analysis and digital signal processing of acoustic signals. They will gain experience of discrete and digital system simulation with the help of modern simulation tools. They will be able to design and simulate algorithms for acoustic signal processing, which are directly designed for the CPU of a computer system or for signal processor.

The subject knowledge on the Bachelor degree level is required.

Not applicable.

Not applicable.

E. Ifeachor, B. Lervis:Digital Signal Processing,Addison Wesley
U. Zolzer: Digital Audio Signal Processing, Technical University of Hamburg-Harburg, Germany
GAY, S. L. BENESTY, J.: Acoustic Signal Processing for Telecommunication. Kluwer Academic Publishers
POHLMANN, K.C.:Principles of Digital Audio. McGRAW-HILL

Teaching methods depend on the type of course unit as specified in the BUT Rules for Studies and Examinations.
Lectures provide the explanation of basic principles, subject methodology, examples of problems and their solutions.
Computer exercises support practical mastering of themes presented in lectures. Active participation of students is required.
Participation at lectures is recommended. Participation at computer exercises is checked.
Course is taking advantage of e-learning (Moodle) system.

Evaluation of study results follows the Rules for Studies and Examinations of BUT and the Dean's Regulation complementing the Rules for Studies and Examinations of BUT. Up to 20 points are given for each of two tests in computer exercises. Up to 60 points are given for the final written examination.

Czech

Not applicable.

1. Sound, acoustic signal and its essential properties, human sound perception, sound masking,
2. Discrete signals and systems, approaches to discrete and digital system implementation, acoustic signals and their processing,
3. Essential instruments, methods and structures for DSP system implementation,
4. Advanced delay structures, delay networks,
5. Time-invariant and –variant frequency filters, musical effects,
6. FIR systems, optimized algorithms for FIR system implementation,
7. IIR systems with varying length of delay buffer, peak and RMS value detector, discrete signal integrator,
8. Systems for signal dynamics modification, DRC system, maximize,
9. Nonlinear discrete system model, description of essential nonlinearities and nonlinear systems, frequency-dependent nonlinear systems,
10. Acoustic signal panning, vector based panning, ambisonic panning, multichannel panning, reflected sound wave panning,
11. Simulation of sound wave propagation, physical, perceptual and approximation approach, frequency-dependent sound wave absorption,
12. Echogram, first reflections, subsequent reflections and subsequent reverberation, structures for sound auditory simulation,
13. Acoustic signal restoration, broadband background noise reduction, impulsive disturbance reduction in acoustic signal.

The aim of the course is to provide students with information about essential simulation methods and implementation procedures in the area of digital audio signal processing. Considerable attention is devoted to the present trends in the area of general audio signal with focus on musical signals.

It is obligatory to do all computer exercises and tests to complete the course. Other forms of checked instruction are specified by a regulation issued by the guarantor of the course and updated for every academic year.

• Programme EEKR-M1 Master's

  branch M1-EST , 1. year of study, winter semester, 6 credits, optional interdisciplinary
  

• Programme AUDIO-P Master's

  branch P-AUD , 2. year of study, winter semester, 6 credits, optional specialized
  

• Programme EEKR-M1 Master's

  branch M1-TIT , 2. year of study, winter semester, 6 credits, optional specialized
  

• Programme EEKR-CZV lifelong learning

  branch ET-CZV , 1. year of study, winter semester, 6 credits, optional specialized
  

39 hours, compulsory

Ing. Miroslav Balík, Ph.D.

eLearning: opened course