Course Information

Course Name	Turkish	Mekatronik Alanında Sinyal İşleme Uygulamaları
	English	Signal Processing Applications in Mechatronics
Course Code	MKM 501E	Credit	Lecture (hour/week)	Recitation (hour/week)	Laboratory (hour/week)
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
Other
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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