Course - Acoustic Signal Processing - TTT4295
Acoustic Signal Processing
Choose study yearNew from the academic year 2024/2025
About
About the course
Course content
This course is an introductory course focusing on basic tools used in acoustics for the analysis of analogue / digital signals. The following fundamental concepts will be covered in detail: Time-and-frequency domain analysis, System Characterization, Auditory System fundamentals, Array processing, Sound Synthesis Principles, Machine Learning applied to classification of acoustic signals.
These concepts are essential and commonly used in a wide range of Acoustic applications: measurement applications, music synthesis, sound in VR, sound reproduction, remote sensing, animal sound classification.
Learning outcome
Knowledge: Students will have a) a thorough knowledge of the theoretical concepts for processing signals and systems; b) an in-depth understanding of the different principles used for common practical applications in Acoustics; c) a basic understanding of analysis and modeling of acoustical signals.
Skills: Students can (1) select appropriate analysis techniques to implement in software, (2) implement Signal Analysis or System Characterization in software.
Learning methods and activities
Lectures, obligatory exercises and lab project.
Compulsory assignments
- Exercices
Further on evaluation
A certain number of obligatory exercices needs to be delivered. The number and deadlines will be given at the start of the semester.
The oral exam will contribute 70% and the lab work 30% of the final grade.
If the course is to be repeated a later year, the entire course has to be retaken.
Recommended previous knowledge
TTT4280 - Sensors and Instrumentation
Required previous knowledge
Basic knowledge in mathematics corresponding to 1st and 2nd year of the ELSYS, physics and digital signal processing or equivalent.
Course materials
Finalized at the start of the course.
Subject areas
- Technological subjects