COURSE UNIT TITLE

: AUDIO SIGNAL PROCESSING

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
EED 4008 AUDIO SIGNAL PROCESSING ELECTIVE 3 2 0 6

Offered By

Electrical and Electronics Engineering

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

ASSISTANT PROFESSOR GÜLTER GÜLDEN KÖKTÜRK

Offered to

Electrical and Electronics Engineering

Course Objective

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.

Learning Outcomes of the Course Unit

1   Principles of digital audio signal processing with broad theoretical fundamentals
2   Able to describe and explain algorithms for audio signal processing
3   Able to implement, test and evaluate algorithms for audio signal processing using Matlab

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

EED 4009 - DIGITAL SIGNAL PROCESSING

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Digital signal processing Overview, Sound waves, Fundamentals of Acoustics, Digital Signals
2 LTI Systems, Convolutions, Fourier theory, Sampling
3 Quantization, AD/DA, Dither, PCM, Delta-sigma modulation, Quantization, Quantization Error, Noise Shaping
4 STFT, Sub-band Filtering, Filter Bank Summation, Overlap Addition (OLA) Method
5 De-noising, Audio Filter Design, Low/High Pass Filters, Wiener Filter
6 First Midterm Exam
7 Audio Coding and Standards
8 Audio Analysis, Features and Retrieval
9 Data Compression (Lossless Data Compression, Lossy Data Compression, Psychoacoustics, ISO-MPEG1 Audio Coding)
10 Room Simulation (Early Reflections, Subsequent Reverberation, Approximation of Room Impulse Responses)
11 Equalizers (Recursive Audio Filters, Nonrecursive Audio Filters, Multi-Complementary Filter Bank)
12 Second Midterm Exam
13 Speech signal applications I
14 Speech signal applications II

Recomended or Required Reading

M. Kahrs, K. Brandenburg, "Application of Digital Signal Processing to Audio and Acoustics", Kluwer Academic Publishers, 1998.

Planned Learning Activities and Teaching Methods

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE1 MIDTERM EXAM 1
2 MTE2 MIDTERM EXAM 2
3 FIN FINAL EXAM
4 FCG FINAL COURSE GRADE MTE1 * 0.25 + MTE2 * 0.25 + FIN * 0.50
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTE1 * 0.25 + MTE2 * 0.25 + RST * 0.50


Further Notes About Assessment Methods

None

Assessment Criteria

To be announced.

Language of Instruction

English

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

Dr. Gülden Köktürk
Dokuz Eylul University
Dept. of Electrical&Electronics Eng.
Campus of Kaynaklar, Buca 35160, Izmir
Tel: +90-232-3107165

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 12 3 36
Laboratory 14 2 28
Preparation before/after weekly lectures 12 6 72
Preparation for midterm exam 2 5 10
Preparation for final exam 1 5 5
Midterm Exam 2 2 4
Final 1 2 2
TOTAL WORKLOAD (hours) 157

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12PO.13
LO.15555
LO.25555
LO.35555

CONTACT INFORMATION
Dokuz Eylül Üniversitesi Cumhuriyet Bulvarı No: 144 35210 Alsancak / İZMİR
Phone: +90(232) 412 12 12 - Fax: +90 (232) 464 81 35

Copyright 2015 DEÜ. BİD

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