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| JFZ7188 | Filter Techniques and Signal Analysis Methods | 3+0+0 | ECTS:7.5 | | Year / Semester | Fall Semester | | Level of Course | Third Cycle | | Status | Elective | | Department | DEPARTMENT of GEOPHYSICAL ENGINEERING | | Prerequisites and co-requisites | None | | Mode of Delivery | Face to face, Practical | | Contact Hours | 14 weeks - 3 hours of lectures per week | | Lecturer | Prof. Dr. Nilgün Lütfiye SAYIL | | Co-Lecturer | None | | Language of instruction | | | Professional practise ( internship ) | None | | | | The aim of the course: | | The course aims to provide the students with filter techniques about main subjects of seismic records, to help them use their knowledge to digital anti-alias filter parameters and use to simple and inverse filtering of wavelet parameters from the earthquake records. , to teach them how to design of linear filter. |
| Programme Outcomes | CTPO | TOA | | Upon successful completion of the course, the students will be able to : | | | | PO - 1 : | summarise the general knowledge on main subject of filter techniques. | 1,2 | 1 | | PO - 2 : | describe the digital anti-alias filter parameters using to the analysis of seismic data. | 2,3 | 1,4 | | PO - 3 : | apply simple and inverse filtering of wavelet parameters from earthquakes records. | 4 | 1,3 | | PO - 4 : | evaluate the results of linear filter to define seismic data. | 4,8 | 1,3,4 | | PO - 5 : | present before an audience the results and outcome of any exercise | 1,8 | 3,4,6 | | CTPO : Contribution to programme outcomes, TOA :Type of assessment (1: written exam, 2: Oral exam, 3: Homework assignment, 4: Laboratory exercise/exam, 5: Seminar / presentation, 6: Term paper), PO : Learning Outcome | | |
| Principle characteristic of filters, digital anti-alias filter, RC-filter, forward and inverse filter of earthquake records, determination of wavelet parameters from digital seismogram, optimum wiener filters. |
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| Course Syllabus | | Week | Subject | Related Notes / Files | | Week 1 | Principle characteristic of filters | | | Week 2 | Digital filters | | | Week 3 | FIR (nonrecursive filter) | | | Week 4 | Recursive filter (IIR) | | | Week 5 | Analog-digital transform | | | Week 6 | Analog-digital transform | | | Week 7 | Forward filter of earthquake records | | | Week 8 | Mid-term exam | | | Week 9 | Inverse filter of earthquake records | | | Week 10 | Inverse filter of earthquake records | | | Week 11 | Wavelet introduction | | | Week 12 | Determination of wavelet parameters from seismograms | | | Week 13 | Quiz | | | Week 14 | Wiener filters | | | Week 15 | Optımum wiener filter,optimum wiener filter error determination | | | Week 16 | End-of-term exam | | | |
| 1 | Kulhanek, O. 1976; Introduction to Digital Filtering in Geophysics, Elsevier Scientific Publishing Company | | | 2 | Robinson, E.A. 1978; Geophysical Signal Analysis, Kluwer Academic Publishers | | | |
| 1 | Scherbaum, F. 1996; Of Poles and Zeros, Kluwer Academic Publishers | | | |
| Method of Assessment | | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | | Mid-term exam | 8 | 07-APR-10 | 1,5 | 30 | | Quiz | 12 | 12-MAY-10 | 1,5 | 10 | | Homework/Assignment/Term-paper | 10 | 29-05-10 | 6 | 10 | | End-of-term exam | 15 | 09-JUN-10 | 1,5 | 50 | | |
| Student Work Load and its Distribution | | Type of work | Duration (hours pw) | No of weeks / Number of activity | Hours in total per term | | Yüz yüze eğitim | 3 | 14 | 42 | | Sınıf dışı çalışma | 7 | 14 | 98 | | Laboratuar çalışması | 0 | 0 | 0 | | Arasınav için hazırlık | 15 | 1 | 15 | | Arasınav | 2 | 1 | 2 | | Uygulama | 7 | 4 | 28 | | Klinik Uygulama | 0 | 0 | 0 | | Ödev | 6 | 3 | 18 | | Proje | 0 | 0 | 0 | | Kısa sınav | 0 | 3 | 0 | | Dönem sonu sınavı için hazırlık | 15 | 1 | 15 | | Dönem sonu sınavı | 2 | 1 | 2 | | Diğer 1 | 0 | 0 | 0 | | Diğer 2 | 0 | 0 | 0 | | Total work load | | | 220 |
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