Czech

6

Not applicable.

Students get a detailed overview about digital signal processing of sound and musical signals. They wil be able to design algorithms for acoustic signal processing, which are directly designed for CPU of computer system or for signal processor. They get accustomed to working in the mixing or mastering digital musical studio.

The subject knowledge on the Bachelor´s degree level is requested.

Not applicable.

Teaching methods depend on the type of course unit as specified in the article 7 of BUT Rules for Studies and Examinations.

Requirements for completion of a course are specified by a regulation issued by the lecturer responsible for the course and updated for every academic year.

1. Sound and its essential properties, propagation, parameters, equal loudness contours, frequency range, sound source localization, masking.
2. DSP signals and systems, clasification, time-invariant and time-variant systems, various approaches to DSP implementation.
3. Fundamental instruments and structures for DSP system implementation, forms, buffers, structures and substructures, COLA and VOLA segmentation.
4. Essential and advanced delay structures, comb filters, recirculation loops, nested all-pass filters, feedback delay networks.
5. Frequency filters with infinite impulse response, parametric filters, state-space filter, time-variant IIR filters (phaser, wah-wah).
6. Frequency filters with finite impulse response, fast algorithms, weighting windows, time-variant FIR filters, overlap-add method.
7. Musical effects based on signal delay, echo, multiecho, vibrato, phaser, chorus, flanger.
8. Systems for signal dynamics adjustment, limiter, compressor, expander, noise gate, frequency dependent systems with dynamics adjustment (deeser a maxbass).
9. Voltera model of nonlinear distortion. implemetation of distortion models, harmonic and subharmonic frequencies generation, principle of simulation of guitar amplifiers distortion.
10. Frequency independent distortion systems, quadratic, exponential, symetric and assymetric clipping, hard and soft clipping, frequency dependent distortion systems (exciter, enhancer).
11. Sound panning systems, systems for auditory space simulation, various types and approaches to auditory space simulation.
12. Reverberation algorithms, simulation of early and multiple reflections, simulation of late reverberation, structures used for simulation.
13. Losses compression algorithms, essential algorithm of losses compression. MPEG1 layer 1, 2, 3 coder and decoder .

Not applicable.

To provide students with information about essential methods and procedures in the area of digital audio signal processing. Considerable attention is devoted to the present trends in the area of sound and musical signals.

The content and forms of instruction in the evaluated course are specified by a regulation issued by the lecturer responsible for the course and updated for every academic year.

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

Not applicable.

39 hours, compulsory

Matlab, Simulink and DSP-Blockset
Sound editor SF Sound Forge
Multichannel sound editor Steinberg NUENDO
The alghorithm rules for sound signals editing 1
The alghorithm rules for sound signals editing 2
The alghorithm rules for sound signals editing 3
The individual project elaboration (6 exercises)