Course Information
SemesterCourse Unit CodeCourse Unit TitleT+P+LCreditNumber of ECTS CreditsLast Updated Date
8EEE 403DIGITAL FILTERS 3+0+03516.07.2024

 
Course Details
Language of Instruction English
Level of Course Unit Bachelor's Degree
Department / Program ELECTRICAL-ELECTRONICS E.
Type of Program Formal Education
Type of Course Unit Elective
Course Delivery Method Face To Face
Objectives of the Course To teach the digital filter design hardwares and softwares to engineering students
Course Content Introduction to digital filters. Classical applications. Mathematical fundamentals. Phase
Filters. Approximation methods. Transformations. Recursive Filters. Equalizers.
Nonrecursive filters, design and smoothing. Window functions. Decimator and Interpolators.
Signal processing applications.
Course Methods and Techniques 2 hours theoretical + 2 hours computer applications
Prerequisites and co-requisities ( EEE 301 )
Course Coordinator None
Name of Lecturers Prof.Dr. Arif Nacaroglu arif1@gantep.edu.tr
Assistants None
Work Placement(s) No

Recommended or Required Reading
Resources Digital Filters (Andreas Antoniou)
Course Notes Course book: Digital Filters (A. Antoniou)
Documents Digital Filters (A: Antoniou)
Assignments digital filters design

Course Category
Mathematics and Basic Sciences %20
Engineering %80

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 2 % 60
Project 1 % 10
Final examination 1 % 30
Total
4
% 100

 
ECTS Allocated Based on Student Workload
Activities Quantity Duration Total Work Load
Course Duration 2 30 60
Laboratory 2 30 60
Project 1 50 50
Final examination 1 4 4
Total Work Load   Number of ECTS Credits 6 174

 
Course Learning Outcomes: Upon the successful completion of this course, students will be able to:
NoLearning Outcomes
1 Digital Filter Design procedure
2 The analysis of the digital filters
3 programming of the digital filters in software

 
Weekly Detailed Course Contents
WeekTopicsStudy MaterialsMaterials
1 Types of discrete time signals • The digital filter as a system • Characterization of digital filters Reading Digital Filters
2 Digital filter networks • Introduction to time domain analysis • Convolution summation • Stability Reading Digital Filters
3 State space analysis • Discrete time transfer function and stability Reading Digital Filters
4 Frequency domain analysis • Direct realization • Direct canonic realization • State space realization reading Digital Filters
5 Cascade realization • Parallel realization • Topological properties • Implementation • Realizability constraints reading Digital Filters
6 Invariant impulse response method • Modified invariant impulse response method • Matched z-transformation method • Bilinear transformation method reading Digital Filters
7 Delay equalization • Zero phase filters • Amplitude equalization • Constant delay filters reading Digital Filters
8 Frequency response • Location of zeros • Design using the Fourier series reading Digital Filters
9 Number representation • Number quantization reading Digital Filters
10 Coefficient quantization • Low sensitivity structures reading Digital Filters
11 • Product quantization reading Digital Filters
12 Introduction to DSP Applications reading Digital Fiters
13 Sampling-frequency conversion • Adaptive Digital Filters reading Digital Filters
14 Two dimensional digital filters reading Digital Filters

 
Contribution of Learning Outcomes to Programme Outcomes
P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 P11
All 5 5 5 5
C1
C2
C3

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  https://obs.gantep.edu.tr/oibs/bologna/progCourseDetails.aspx?curCourse=337782&lang=en