Faculty of Engineering - Ain Shams University, Home

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Digital Signal Processing

What Will Learn?

  • Course Aims
    ⁻ Provide students with background in Digital Signal Processing and the different techniques used to analyze discrete-time signals and to design of discrete-time systems. ⁻ Develop the ability of students to apply Z-transform and DFT in different usage scenarios. ⁻ Provide the students with the practical experience by applying some of the topics learned using MATLAB simulations.
  • Course Goals
  • Industry, Innovation and Infrastructure
  • Sustainable Cities and Communities

Requirements

ECE261

Description

  • English Description

    Introduction to DSP. Z-Transform. Discrete Time Fourier Transform. Fast Fourier Transform. Digital filter design. Multirate signal processing.
  • Arabic Description

    Introduction to DSP. Z-Transform. Discrete Time Fourier Transform. Fast Fourier Transform. Digital filter design. Multirate signal processing.
  • Department
    Electronics and Communications Engineering
  • Credit Hours
    3
  • Grades
    Total ( 100 ) = Midterm (20) + tr.Major Assessment (25 = tr.Industry 0% , tr.Project 0% , tr.Self_learning 5% , tr.Seminar 25% ) + tr.Minor Assessment (5) + tr.Oral/Practical (10) + Exam Grade (40)
  • Hours
    Lecture Hours: 2, Tutorial Hours: 2, Lab Hours: 1
  • Required SWL
    125
  • Equivalent ECTS
    5
  • Manolakis, D., & Ingle, V. (2011). Applied Digital Signal Processing: Theory and Practice. Cambridge: Cambridge University Press.
  • doi:10.1017/CBO9780511835261