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Course Information

Course Name
Turkish Mekatronik Alanında Sinyal İşleme Uygulamaları
English Signal Processing Applications in Mechatronics
Course Code
MKM 501E Credit Lecture
Semester 1
3 3 - -
Course Language English
Course Coordinator Hülya Yalçın
Hülya Yalçın
Course Objectives - apply basic properties of time-invariant linear systems
- understand sampling, aliasing, convolution, filtering, the pitfalls of
spectral estimation
- explain the above in time and frequency domain representations
- use filter-design software
- visualise and discuss digital filters in the z-domain
- use the FFT for convolution, deconvolution, filtering
- implement, apply and evaluate simple DSP applications in MATLAB
Course Description Signals may have to be transformed in order to amplify or filter out embedded information, detect patterns, prepare the signal to survive a transmission channel, prevent interference with other signals sharing a medium, undo distortions contributed by a transmission channel, compensate for sensor deficiencies and find information encoded in a different domain.
To do so, we also need methods to measure, characterise, model and simulate transmission channels, mathematical tools that split common channels and transformations into easily manipulated building blocks.
Course Outcomes
Pre-requisite(s) There is no stated prerequisite course. Students entering this course are expected to have an undergraduate understanding of system dynamics and elementary linear system theory. MATLAB will be used extensively throughout the course. Students will be expected to be able to create ".m" files.
Required Facilities
Textbook Proakis, John G., and Dmitris K. Manolakis. Digital Signal Processing. 4th ed. Upper Saddle River, NJ: Prentice Hall, 2006.
Other References Oppenheim, Alan V., Ronald W. Schafer, and John R. Buck. Discrete-Time Signal Processing. 2nd ed. Upper Saddle River, NJ: Prentice Hall, 1999.
S. K. Mitra, Digital Signal Processing, A Computer-Based Approach, McGraw-Hill, 2002.
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