Course detail
Digital Audio Signal Processing
FEKT-MPC-CASAcad. year: 2023/2024
Acoustic signal and its essential characteristics, auditory masking, approaches to implementation of discrete and digital systems for sound processing, essential and advanced methods and structures for sound processing, time-invariant and –variant systems and their optimized simulation and implementation, implementation of frequently used tools for sound processing and musical effects, non-linear systems for sound processing and their implementation, sound panning systems, simulation of sound propagation in enclosed space and ways of its implementation, restoration of damaged audio recordings.
Language of instruction
Number of ECTS credits
Mode of study
Guarantor
Department
Entry knowledge
Rules for evaluation and completion of the course
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.
Aims
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.
Study aids
Prerequisites and corequisites
Basic literature
Zolzer, U. DAFX - Digital Audio Effects. Chichester: John Willey & Sons Ltd., 2005, ISBN 0471490784. (CS)
Recommended reading
Elearning
Classification of course in study plans
- Programme MPC-TIT Master's 2 year of study, winter semester, compulsory-optional
- Programme MPC-EKT Master's 0 year of study, winter semester, elective
- Programme MPC-AUD Master's
specialization AUDM-TECH , 2 year of study, winter semester, compulsory-optional
specialization AUDM-ZVUK , 2 year of study, winter semester, compulsory-optional - Programme MITAI Master's
specialization NSPE , 0 year of study, winter semester, elective
Type of course unit
Elearning