COURSE UNIT TITLE

: ADVANCED DIGITAL SIGNAL PROCESSING

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
EEE 5066 ADVANCED DIGITAL SIGNAL PROCESSING ELECTIVE 3 0 0 8

Offered By

Graduate School of Natural and Applied Sciences

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

ASSOCIATE PROFESSOR DAMLA GÜRKAN KUNTALP

Offered to

GEOGRAPHICAL INFORMATION SYSTEMS
ELECTRICAL AND ELECTRONICS ENGINEERING
ELECTRICAL AND ELECTRONICS ENGINEERING
ELECTRICAL AND ELECTRONICS ENGINEERING

Course Objective

This course focuses on the theory and applications of advanced signal processing techniques. Topics covered include; linear prediction, spectral estimation, adaptive filtering, multirate digital signal processing, cepstrum analysis.

Learning Outcomes of the Course Unit

1   To be able to understand and identify the practical difficulties of digital filter design beyond the theoretical scope
2   To be able to understand linear prediction method and to apply it to the different types of problems
3   To be able to use different spectral estimation techniques to signals
4   be able to design and use adaptive filters in signal proce ssing problems
5   To be able to adjust sampling rate as needed using multirate digital signal processing techniques
6   To be able use Matlab to implement advanced DSP techniques in signal processing problems

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Framework for Digital Filter Design
2 Linear prediction
3 Linear prediction cont.
4 Spectral estimation; frequency resolution, non-parametric methods, periodogram, Barlett method, Welch method
5 Spectral estimation; parametric method, AR, MA and ARMA models
6 Adaptive filtering; Wiener filtering
7 Adaptive filtering; LMS, RLS algorithms
8 Midterm
9 Multirate digital signal processing; decimators and interpolators design and implementation
10 Multirate digital signal processing; multistage sampling rate conversion
11 : Multirate digital signal processing; perfect reconstruction filter bank, quadratic mirror filter bank and its design
12 Finite wordlength effect
13 Cepstrum analysis and homomorphic deconvolution
14 Cepstrum analysis and homomorphic deconvolution cont.

Recomended or Required Reading

Text book: J. G. Proakis, et. al. "Digital Signal Processing", Pearson, 2007.
References:
Digital Signal Processing, Ludeman, S.K: Mitra, McGraw-Hill, 2001.
Discrete-Time Signal Processing, Alan V. Oppenheim, Ronald W.Schaffer, Prentice and Hall, 1989.

Planned Learning Activities and Teaching Methods

Theoretical contenet is provided in the lectures. To reinforce and extend understanding of topics that are covered theoretically in lectures, projects and homeworks are assigned as applications.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MD Midterm
2 PR Proje
3 HW Homework
4 QZ Quiz
5 BNS BNS MD* 0.30 + PR * 0.30 + HW * 0.20 + QZ * 0.20


*** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

Learning outcomes will be evaluated by homework problems, and exams. Application of theoretical concepts to practical problems will be evaluated through assigned projects.

Language of Instruction

English

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

damla.kuntalp@deu.edu.tr

Electrical and Electronics Engineering Department
Office Phone #: 301 7166

Office Hours

To be announced at the beginning of the semester.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 13 3 39
Preparation for midterm exam 1 20 20
Preparation for quiz etc. 6 2 12
Preparations before/after weekly lectures 13 3 39
Design Project 1 40 40
Preparing assignments 3 10 30
Midterm 1 3 3
Quiz etc. 6 1 6
TOTAL WORKLOAD (hours) 189

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12PO.13
LO.123435525523
LO.2332453253444
LO.322322324
LO.433533232
LO.5225233243
LO.625424243222

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

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