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Designing analog and digital filters

Course Description: Filter design concepts. Types of filters in the frequency domain, including: Low-Pass Filters, High-Pass Filters, Band-Pass Filters, and Stop-Band Filters. Types of filters according to their approximation characteristics, including: Butterworth Filters, Chebyshev Filters, Elliptic (or Cauer) Filters, and Gaussian Filters. Analog Filter Synthesis. Quad Filters. Digital filters, including: Finite Impulse Response (FIR) filters and Infinite Impulse Response (IIR) filters. Digital Signal Processors (DSP) and their applications.
Credit hours: 3
Prerequisites: EE 317
Objectives of the course :

Understanding signal processing techniques, active filters (analog), and digital filters.
Gain intellectual skills in filter design in terms of approximation and synthesis.
* Gaining intellectual skills in synthesizing analog filters of various orders and using diverse methods such as Sallen-Key and Leap-Frog.
Acquiring intellectual skills in synthesizing digital filters of FIR and IIR types.
Acquiring professional and practical skills related to the components of active and digital filters, digital signal processing (DSP), and their fields of application.
Developing general and transferable skills, such as developing ideas and sharing them with others.

Course outputs :

Course Learning Outcomes (CLOs):

Identify the fundamental, theoretical, and mathematical concepts of digital and analog filters.
Analog filter design in the frequency domain.
* Design of Finite Impulse Response (FIR) and Infinite Impulse Response (IIR) digital filters.
Explanation of the standards and principles used in the design of different types of digital and analog filters.

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  • Last updated: 2026-05-20

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