COURSE UNIT TITLE

: TIME FREQUENCY SIGNAL ANALYSIS

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
EEE 5055 TIME FREQUENCY SIGNAL ANALYSIS 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

ASSISTANT PROFESSOR GÜLTER GÜLDEN KÖKTÜRK

Offered to

ELECTRICAL AND ELECTRONICS ENGINEERING (ENGLISH)
ELECTRICAL AND ELECTRONICS ENGINEERING NON -THESIS (EVENING PROGRAM) (ENGLISH)
ELECTRICAL AND ELECTRONICS ENGINEERING (ENGLISH)
ELECTRICAL AND ELECTRONICS ENGINEERING (ENGLISH)

Course Objective

The analysis of non-stationary signals with traditional methods suffers from the lack of the time localization of a given frequency component. Time-frequency representations have been used successfully for these purposes in many applications, such as speech, radar and sonar, image, and biological signal processing. This course is intended to give some insight of the time-frequency distributions and their applications.

Learning Outcomes of the Course Unit

1   Teaches analytical tools for combined time and frequency analysis
2   Obtaining an intuition on which representation system should be used for the compression of a given class of signals or operators
3   Knowledge of the elements of time and frequency methods
4   Knowledge of common algorithms in time-frequency analysis

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Basic concepts: Instantaneous frequency, uncertainty principle, densities
2 Time-Frequency Distributions: Fundamental Ideas
3 The Short-Time Fourier Transform
4 The Wigner Distribution
5 General Approach and the Kernel Method
6 Some Distributions
7 Midterm
8 Positive time-frequency distributions
9 Wigner-Ville distribution
10 Time-frequency reassignment
11 Time-Scale Distributions: An introduction to Wavelet Analysis
12 Discrete and Continuous Wavelet Transforms, Filterbanks
13 Filter Banks, Wavelet packets and parameterization
14 Aplications of time-frequency and time-scale analysis methods

Recomended or Required Reading

B. Boashash, Time Frequency Signal Analysis and Processing , Elsevier, 2003.

Planned Learning Activities and Teaching Methods

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 PRS PRESENTATION
2 PAR PARTICIPATION
3 FIN FINAL EXAM
4 FCG FINAL COURSE GRADE PRS * 0.40 + PAR * 0.10 + FIN * 0.50
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) PRS * 0.40 + PAR * 0.10 + 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)

gulden.kokturk@deu.edu.tr
Tel: 232-3017165

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 13 3 39
Design Project 1 40 40
Preparations before/after weekly lectures 13 4 52
Preparation for midterm exam 1 7 7
Preparation for final exam 1 12 12
Reading 14 3 42
Midterm 1 3 3
Final 1 3 3
TOTAL WORKLOAD (hours) 198

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12PO.13PO.14
LO.14534
LO.2444234
LO.33441
LO.434443

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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