Course Catalog 2009-2010
Basic

Basic Pori International Postgraduate Open University

|Degrees|     |Study blocks|     |Courses|    

Course Catalog 2009-2010

SGN-4226 Digital Audio Processing and Analysis, 5 cr
Digital Audio Processing and Analysis
Implementation 1

Implementation 1

Lecture times and places:


Per 2 :
Friday 10 - 12, TB222


Description:

The objective of this course is to provide students with fundamental knowledge about various signal processing techniques applied to digital audio signals. All of this knowledge is essential to the understanding of the function of present day digital audio processing systems and form a strong foundation of the learning of newly developed digital devices/systems with applications to audio signals. Thus this course serves as an introductory course to other more advanced digital audio processing.

Person responsible:

Serkan Kiranyaz

Target groups:

Automaatiotekniikan koulutusohjelma
International Students
Signaalinkäsittelyn ja tietoliikennetekniikan koulutusohjelma
Sähkötekniikan koulutusohjelma
Tieto- ja sähkötekniikan tiedekunta
Tietotekniikan koulutusohjelma

Assessment scale:

Numerical evaluation scale (1-5) will be used on the course

Additional information of course implementation:

Course Outline Lecture 01 - Introduction DASP Overview, Sound waves, Fundamentals of Acoustics, Digital Signals Lecture 02 ¿ Signal Processing Review LTI Systems, Convolutions, Probability Theory and Random Process. Lecture 03/04 ¿ Digital Signal Processing (Analysis) Fourier Family, Quantization, Sampling, Quantization Error, Noise Shaping. Lecture 05¿ Digital Audio: AD/DA Conversions AD/DA, Dither, PCM, Delta-sigma modulation Lecture 06 ¿ Audio Enhancement De-noising, Audio Filter Design, Low/High Pass Filters, Wiener Filter Lecture 07 ¿ Perceptual Audio Loudness and Masking, Psychophysical Laws, Psychoacoustics, Critical Bands, Masking Lecture 08/09 ¿ Audio Coding and Standards PCM, DPCM, Sub-band filtering and quantization, LPC coder, Perceptual audio coding: MPEG-Audio Lecture 10/11 ¿ Audio Analysis, Features and Retrieval Audio Feature Extraction ¿ Acoustic Features, MFCC, Audio Classification and Segmentation Lecture 12¿ Course Review