| Course Unit Title | Course Unit Code | Type of Course Unit | Level of Course Unit | Year of Study | Semester | ECTS Credits |
|---|---|---|---|---|---|---|
| Filter Techniques | JFZ325 | Compulsory | Bachelor's degree | 3 | Fall | 4 |
Name of Lecturer(s)
Associate Prof. Dr. Ertan PEKŞEN
Learning Outcomes of the Course Unit
1) Filter the data in time domain
2) Filter the data in frequency domain
3) Design low-pass, high-pass, band-pass, and band-stop digital filters in time and frequency domain
4) Apply deconvolution to the data
5) Apply digital Hankel transform
6) Apply wavelet processing
Program Competencies-Learning Outcomes Relation
| Program Competencies | ||||||||||||
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | ||
| Learning Outcomes | ||||||||||||
| 1 | High | Middle | Middle | No relation | No relation | No relation | Middle | Middle | High | No relation | No relation | |
| 2 | High | Middle | Middle | No relation | No relation | No relation | Middle | Middle | High | No relation | No relation | |
| 3 | High | Middle | Middle | No relation | No relation | No relation | Middle | Middle | High | No relation | No relation | |
| 4 | High | Middle | Middle | No relation | No relation | No relation | Middle | Middle | High | No relation | No relation | |
| 5 | High | Middle | Middle | No relation | No relation | No relation | Middle | Middle | High | No relation | No relation | |
| 6 | No relation | Middle | Middle | No relation | No relation | No relation | Middle | Middle | High | No relation | No relation | |
Mode of Delivery
Face to Face
Prerequisites and Co-Requisites
1) DATA PROSSESING IN GEOPHYSICS II Fulfilling the attendance requirement:
Recommended Optional Programme Components
None
Course Contents
This course covers; linear filter theory, filters, frequency selective ideal filters, band-pass ideal filters, high-pass ideal filters, band-stop ideal filters, Tangent-Hyperbolic filters, Notch filters and some other windows , filtering in frequency domain, deconvolution filtering in 2-D (spatial filtering), Hankel transform and Wavelet transform.
Weekly Schedule
1) Linear filter theory, Definition of a linear filter, Sinc response, Determination of a lateral shift a linear filter, How to test a filter, Filters.2) Filters , Filtering, Numerical filtering, Types of filters.
3) Frequency selective ideal filters, Definition of an ideal filter, Designing a low pass filter, Calculation of filter coefficients, Numerical examples.
4) An ideal band-pass filter, Designing an ideal band-pass filter, Calculation of filter coefficients, Numerical examples.
5) An ideal high-pass filter, Designing an ideal high-pass filter, Calculation of filter coefficients, Numerical examples.
6) An ideal band-stop filter, Designing an ideal band-stop filter, Calculation of filter coefficients, Numerical examples.
7) Tangent-hyperbolic filters, A low-pass tangent-hyperbolic filter design, A band-pass tangent-hyperbolic filter design, A high-pass tangent-hyperbolic filter design, A band-stop tangent-hyperbolic filter design, Numerical examples.
8) Midterm examination/Assessment
9) Notch filters and other windows Design a notch filter Butterworth filter and some other filters NUmerical examples
10) Frequency domain filter design, numerical example, low-pass, band-pass, high-pass, and stop-band tangent hyperbolic filters design and numerical application
11) Deconvolution, Wavelet theory, Definition of a seismic trace and deconvolution, Inverse filtering, Calculation of filter coefficient with a devision method, Filter coefficient calculation with Wienner-Hopf method, Filter coefficient calculation with Normal equations and Toeplitz matrix method, Numerical examples.
12) Two dimensional filtering, Two dimensional Fourier transform, Two dimensional convolution, Numerical examples
13) Two dimensional filtering, Two dimensional filter design, Two dimesional filterering, Numerical examples
14) Hankel transform, Direct Current 1-D modeling with Hankel transform.
15) Wavelet transform, Short time Fourier transform, Gabor and Stockwell transform, Numerical examples.
16) Final examination
Recommended or Required Reading
1- Başokur, A.T., 2007, Spektral Analiz ve Sayısal Süzgeçler, TMMOB Jeofizik Mühendisleri Eğitim Yayınları No:8
2- Özer, M.F., 2001, SüzgeçTteknikleri Ders Notları, Kocaeli Üniversitesi, Jeofizik Müh. Böl.
3- Pınar, R. ve Akçığ, Z., 1995, Jeofizikte Sinyal Kuramı ve Dönüşümler, TMMOB Jeofizik Mühendisleri Eğitim Yayınları No:3
4- Lyons, R. G., 2004, Understanding Digital Signal Processing, Prentice Hall
5- Smith, S. W., 2003, Digital Filter Processing, Newnes
6- Ders notlarına ve programlara ftp://yubam.kocaeli.edu.tr/pub/epeksen/suzgec teknikleri/ adresinden erişilebilir. Programlar MATLAB dilinde yazılmıştır.
7- Course notes and programs available at ftp://yubam.kocaeli.edu.tr/pub/epeksen/suzgec teknikleri/. Programs are written in MATLAB.
8- Geçmiş yıllara ait ödevler ve çözümleri ftp://yubam.kocaeli.edu.tr/pub/epeksen/suzgec teknikleri/ adresinden indirilebilir.
9- Past years' assignments and solutions can be downloaded from ftp://yubam.kocaeli.edu.tr/pub/epeksen/suzgec teknikleri/.
10- Geçmiş yıllara ait sınav ve cevapları ftp://yubam.kocaeli.edu.tr/pub/epeksen/suzgec teknikleri/ adresinden indirilebilir.
11- Past years' exams and answers can be downloaded from ftp://yubam.kocaeli.edu.tr/pub/epeksen/suzgec teknikleri.
12- ftp://yubam.kocaeli.edu.tr/pub/epeksen/suzgec teknikleri/
13- ftp://yubam.kocaeli.edu.tr/pub/epeksen/suzgec teknikleri
14- /ftp://yubam.kocaeli.edu.tr/pub
Planned Learning Activities and Teaching Methods
1) Lecture
2) Question-Answer
3) Drill and Practice
4) Problem Solving
Assessment Methods and Criteria
Contribution of Semester Studies to Course Grade |
50% |
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Contribution of Final Examination to Course Grade |
50% |
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Total | 100% | |||||||||||
Language of Instruction
Turkish
Work Placement(s)
Not Required