COURSE UNIT TITLE

: TIME-FREQ DOMAIN BMSP

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
BMT 5032 TIME-FREQ DOMAIN BMSP ELECTIVE 3 0 0 7

Offered By

Graduate School of Natural and Applied Sciences

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

ASISTANT PROFESSOR NALAN ÖZKURT

Offered to

Biomedical Tehnologies (English)
Industrial Ph.D. Program In Advanced Biomedical Technologies

Course Objective

The aim of this course is to give some basic understanding of time-frequency domain methods which are extensively used in biomedical signal processing for denoising, analysis and classification purposes. The course covers the description of timefrequency domain, basic definitions and fundamental ideas on the distributions, the demonstration and applications of the common time-frequency and time-scale distributions such as short-time Fourier transform, the Wigner distribution, Cohen Class distributions and wavelets.

Learning Outcomes of the Course Unit

1   This course is expected to help the student to get some insight of time-frquency domain signal processing techniques.
2   To get abilities to process biomedical signals for denoising, compression and analysis.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 The need for time-frequency domain, the time and frequency description of signals
2 Instantaneous frequency and the complex signal, the uncertainty principle.
3 Time-frequency distributions: Fundamental ideas.
4 The short time Fourier transform
5 The Wigner distribution.
6 General approach and Kernel method.
7 Kernel design for reduced interference.
8 Time scale distributions- wavelets and scalogram
9 Midterm exam
10 Case studies for biomedical signals
11 Case studies for biomedical signals
12 Case studies for biomedical signals
13 Case studies for biomedical signals
14 Case studies for biomedical signals

Recomended or Required Reading

M. Akay, Time-Frequency and Wavelets in Biomedical Signal Processing, IEEE Press, 1997.
References:
Leon Cohen, Time Frequency Analysis: Theory and Applications, Prentice-Hall Signal
Processing, 1994.
Patrick Flandrin, Time-Frequency/Time-Scale Analysis, Academic Press, 1999.
Boulem Boashash (Ed.), Time Frequency Signal Analysis and Processing,Elsevier, 2003.

Planned Learning Activities and Teaching Methods

The course is taught in a lecture and project format. All class members are expected to attend the lectures and prepare individual projects, then each student will present his/her work. Besides there will be theoretical and computer application homeworks.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 ASG ASSIGNMENT
3 FIN FINAL EXAM
4 FCG FINAL COURSE GRADE MTE * 0.30 + ASG * 0.40 + FIN * 0.30
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.30 + MAKRASG * 0.40 + MAKRRST * 0.30

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)

To be announced.

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 14 3 42
Preparation for midterm exam 1 10 10
Preparations before/after weekly lectures 14 8 112
Final 1 3 3
Midterm 1 3 3
TOTAL WORKLOAD (hours) 170

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10
LO.144
LO.24424

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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