COURSE UNIT TITLE

: REAL-TIME DIGITAL SIGNAL PROCESING

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
EEE 5058 REAL-TIME DIGITAL SIGNAL PROCESING 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

ASISTANT PROFESSOR GÜLTER GÜLDEN KÖKTÜRK

Offered to

ELECTRICAL AND ELECTRONICS ENGINEERING NON -THESIS (EVENING PROGRAM)

Course Objective

The course aims to introduce the theories, techniques and procedures that are used in the analysis and design of one dimensional discrete time systems. These are used in the implementation of signal processing algorithms by simulation and by real time implementation on digital signal processors. Applications to other fields such as multidimensional signal processing and spectral analysis are also illustrated.

Learning Outcomes of the Course Unit

1   Principle of digital signal processing with theoretical fundamentals
2   Able to describe and explain algorithims for signal processing
3   Able to implement, test and evaluate of real-tima systems

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Discrete time signals and systems, Fourier transform of sequences and convergence.
2 Sampling of lowpass and bandpass signals, Decimation and interpolation
3 Z-transform and inverse Z-transform, properties and region of convergence.
4 Frequency response, allpass and minimum phase system.
5 Structures for IIR and FIR systems, quantization effects.
6 IIR and FIR digital filter design.
7 DFT and FFT.
8 Midterm 1
9 Introduction to TMS320C30 assembly language.
10 TMS320C30 assembly language programming.
11 Design of an oscillator and its implementation.
12 Real time implementation of oscillator using assembly language and C++.
13 Real time speech processing system, design of multirate filters.
14 Midterm 2

Recomended or Required Reading

A. Oppenheim and R. Schafer, Discrete Time Signal Processing , Prentice Hall, 1989.

Planned Learning Activities and Teaching Methods

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE 1 MIDTERM EXAM 1
2 MTE 2 MIDTERM EXAM 2
3 LAB LABORATORY
4 FIN FINAL EXAM
5 FCG FINAL COURSE GRADE MTE 1 *0.20 +MTE 2 *0.20 +LAB *0.20 +FIN *0.40

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)

Gülden Köktürk, gulden.kokturk@deu.edu.tr

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 12 3 36
Preparations before/after weekly lectures 13 3 39
Preparation for midterm exam 2 6 12
Preparation for final exam 1 10 10
Reading 12 6 72
Preparing presentations 12 2 24
Midterm 2 3 6
Final 1 3 3
TOTAL WORKLOAD (hours) 202

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9
LO.1441
LO.2441
LO.32334

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 2012 DEÜ. BİD

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