Course Information
SemesterCourse Unit CodeCourse Unit TitleT+P+LCreditNumber of ECTS Credits
7EEE 425Digital Signal Processing3+0+035

Course Details
Language of Instruction Turkish
Level of Course Unit Bachelor's Degree
Department / Program Electrical and Electronics Engineering
Mode of Delivery Face to Face
Type of Course Unit Elective
Objectives of the Course Teaching fundamentals and principles of analog signal process with digital methods
Course Content Sampling of analog signals, Digital filter desing, Digital filter structures, Software substantiation of FFT and digital filters, Impacts of finite word length, Changing sampling frequency, Multiple applications.
Course Methods and Techniques
Prerequisites and co-requisities None
Course Coordinator Associate Prof.Dr. Süleyman Bilgin
Name of Lecturers Prof.Dr. SÜLEYMAN BİLGİN
Assistants None
Work Placement(s) No

Recommended or Required Reading
Resources Theory and application of Antenna Arrays, M.T.Ma., Wily I1. S. K. Mitra, Digital Signal Processing, A Computer Based Approach, third edition, McGraw Hill, 2005.
A. Oppenheim, Discrete Time Signal Processing, Prentice Hall, 1989.
J. G. Proakis, D. G. Manolakis, Digital Signal Processing. Principles, Algorithms and Applications, fourth edition, Prentice Hall, 2007.
Signals and Systems with MATLAB® Applications Second Edition Steven T. Karris

Manolakis, Dimitris G., Applied digital signal processing: theory and practice, Cambridge University Press, 2011.

Course Category
Mathematics and Basic Sciences %40
Engineering %40
Engineering Design %20

Planned Learning Activities and Teaching Methods
Activities are given in detail in the section of "Assessment Methods and Criteria" and "Workload Calculation"

Assessment Methods and Criteria
In-Term Studies Quantity Percentage
Mid-terms 1 % 30
Assignment 1 % 10
Final examination 1 % 60
Total
3
% 100

 
ECTS Allocated Based on Student Workload
Activities Quantity Duration Total Work Load
Course Duration 14 4 56
Hours for off-the-c.r.stud 14 2 28
Assignments 2 3 6
Mid-terms 1 15 15
Final examination 1 30 30
Total Work Load   Number of ECTS Credits 5 135

Course Learning Outcomes: Upon the successful completion of this course, students will be able to:
NoLearning Outcomes
1 Learning necessary and sufficient conditions for distortionless sampling of bandlimited analog signals
2 Understanding digital FIR and IIR filter design
3 Comprehending filtering of digital signals
4 Discussing software and hardware implementation of digital filters
5 Investigating finite wordlength effects on filtering
6 Learning sampling frequency conversion
7 Discussing different applications of digital signal processing in electronics engineering especially in control and communications


Weekly Detailed Course Contents
WeekTopicsStudy MaterialsMaterials
1 Proof of sampling theorem for ideal sampling 
2 Analog lowpass, highpass, bandpass and bandstop filter design 
3 Anti-aliasing and reconstructing filter design for practical sampling 
4 Introduction to digital filter design and digital infinite impulse response (IIR) filter design 
5 Digital finite impulse response (FIR) filter design 
6 Hardware implementation of a given IIR filter transfer function 
7 Hardware implementation of a given FIR filter transfer function 
8 Digital all pass filters 
9 Fixed and floating point representation of numbers, Goertzel algorithm 
10 Computation of discrete Fourier transform (DFT) via FFT 
11 Finite wordlength effects on filter frequency response 
12 Sampling frequency conversion (up and down sampling) 
13 Multirate systems and filter banks 
14 Digital signal processing applications (presentations of final projects) 


Contribution of Learning Outcomes to Programme Outcomes
P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 P11
All 5 4 3 4 4 3 4 4 4 4 4
C1 5 3 4 3 4 3 3 4 4 4 4
C2 4 4 3 4 4 4 3 4 4 4 4
C3 5 3 3 4 4 3 4 3 4 4 4
C4 4 4 4 3 3 3 4 4 4 4 4
C5 5 5 3 4 3 3 4 4 4 4 4
C6 5 3 3 4 4 4 3 4 4 4 4
C7 4 4 3 3 3 3 4 4 4 4 4

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https://obs.akdeniz.edu.tr/oibs/bologna/progCourseDetails.aspx?curCourse=2429136&lang=en