CANKIRI KARATEKIN UNIVERSITY Bologna Information System


  • Course Information
  • Course Title Code Semester Laboratory+Practice (Hour) Pool Type ECTS
    Signal Processing Applications BİL496 FALL-SPRING 2+0 E 4
    Learning Outcomes
    1-recognize basic signal processing problems.
    2-model a problem he / she meets appropriately.
    3-know which method can solve the problem, advantages and disadvantages of different methods.
    4-apply the techniques learned in the course to the projects.
    5-have knowledge to understand current signal processing algorithms.
    6-use discrete-time systems design and interpretation skills.
    7-comment on real-time system design algorithms.
    8-gain the ability to model and execute ideas about the system before performing the system.
    Prerequisites -
    Language of Instruction Turkish
    Responsible Assist. Prof. Dr. Seda ŞAHİN
    Instructors -
    Assistants -
    Resources 1. Oppenheim, A.V. ve Schafer , R.W. ,Discrete-Time Signal Processing, Pearson, 2010. 2. Prof.Dr. Veysel Silindir v.d,Sinyaller ve Sistemler, Nobel dağıtım- Ankara-2001. 3.Emanuel C. Ifeachor, v.d. Digital signal Processing A Practical Approach, Addıson-wesly- 1994 .
    Supplementary Book -
    Goals to teach the basic mathematical analysis and signal processing methods used in digital signal processing applications, processing of signals in both time and frequency domain.
    Content Signal Processing and digital signal processing methods, Discrete-time signals and their creation, sampling theorem, properties, Discrete-time systems, comparison of these systems with continuous-time systems, Real-time Signal Processing, Properties of Digital Signal Processors, Formulating equations that model discrete-time systems, Analytical solution methods of difference equations. MATLAB applications, Z-transform analysis of signals and systems, transfer function. MATLAB applications, Zero / polar representation, inverse z-transform, frequency response of systems, Discrete-time Fourier transform, Fast Fourier Transform. MATLAB applications, Introduction to digital filters, FIR filter design steps. MATLAB applications, IIR filter design steps. MATLAB applications, MATLAB applications
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