Acoustic Signal Processing

Lecturer:

Tutor:

Supervisor:

Department of Radioelectronics

Synopsis:

This subject is for students interested in acoustic signal processing (ASP). The course describes various types of acoustic signals and their processing. The next part deals with the effect of ASP on the auditory perception and psychoacoustical optimisation of acoustic signals. Several methods of signal coding and compression are used for transmission of audio signals. Industrial applications of ASP concentrate mainly on noise and vibration analysis.

Requirements:

Syllabus of lectures:

1. Acoustic signals, their properties and description. Psychophysical aspects of DSP

2. Discrete audio signal processing, aliasing. Quantization, granulation noise

3. Reconstruction of signals, non-linear distortion, corrections

4. Modification of audio signals using oversampling, dithering, noise shaping

5. Psychoacoustical optimization of acoustic signals

6. Signal behavior in electroacoustic systems. Recording and processing of data

7. Time and frequency analysis audio signals, noise and vibration

8. Digital audio signals processing and its application in studio and industry

9. Design, generation and analysis of measuring harmonic, impulse and MLS signals

10. Analysis of complex electroacoustic systems using digital measuring signals

11. Wigner distributions, cumulative spectra. Time delay spectrometry

12. Music signal processing, restoration of damaged recordings

13. Coding and compression of audio signal bit rate, psychoacoustic model

14. DSP of audio signals of various types: MPEG-Audio, MUSICAM, ATRAC, DOLBY

Syllabus of tutorials:

1. Design of algorithm and calculation of equal loudness curves for audio DSP

2. Design of digital filters for psychoacoustic optimization of signal

3. Analysis of the influence of discretization on sound signal, granulation noise

4. Measurement of S/N ratio of DSP of audio signals, statistical and frequency analyses

5. Influence of a digital audio signal processing on auditory perception of music signals

6. Oversampling of audio signals, noise shaping, their statistic and frequency analyses

7. Modeling of psychoacoustical optimization of audio signals

8. Deconvolution of signals, cepstral analyses of audio signals with echo

9. Design of a digital signal generator for studio equipment

10. Design, generation and analysis of the measuring harmonic, impulse and random signals

11. Measurement of complex electroacoustic systems using MLS signals

12. Audio signal processing using professional PC sound card

13. Measurement, pre-processing and time-frequency analysis of music signal

14. MPEG-type audio signal processing, analysis of psychoacoustic model

Study Objective:

Study materials:

1. Mitra, S. K., Kaiser, J. F.: Handbook for Digital Signal Processing. New York: John Wiley & Sons. 1993

2. Madisetti, V. K., Williams, D. B.: The Digital Signal Processing Handbook. Salem: CRC Press. 1998

3. Hartmann, W. M.: Signals, Sound, and Sensation. New York: American Institute of Physics. 1997

4. Kahrs, M., Brandenburg, K.: Applications of Digital signal Processing to Audio and Acoustics. Boston: Kluwer Academic Publishers. 1998

5. Journal of the Audio Engineering Society. AES

Note:

Further information:

No time-table has been prepared for this course

The course is a part of the following study plans: