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Digital Signal Processing Basics

What Will Learn?

  • Course Aims
    NA
  • Course Goals
  • Quality Education
  • Affordable and Clean Energy
  • Industry, Innovation and Infrastructure

Requirements

ECE251s

Description

  • English Description

    Introduction to digital signal processing. The Z-transform and its properties. The Discrete-Fourier Transform (DFT) and its properties. Circular convolution and block convolution. The Fast Fourier Transform (FFT). Digital filters. FIR filter design. IIR filter design. Multirate signal processing. Applications in communication systems and audio/image processing
  • Arabic Description

    Introduction to digital signal processing. The Z-transform and its properties. The Discrete-Fourier Transform (DFT) and its properties. Circular convolution and block convolution. The Fast Fourier Transform (FFT). Digital filters. FIR filter design. IIR filter design. Multirate signal processing. Applications in communication systems and audio/image processing
  • Department
    Electronics and Communications Engineering
  • Credit Hours
    2
  • Grades
    Total ( 100 ) = Midterm (20) + tr.Student Activities (20 = tr.Industry 0% , tr.Project 0% , tr.Self_learning 0% , tr.Seminar 20% ) + tr.Oral/Practical (10) + Exam Grade (50)
  • Hours
    Lecture Hours: 2, Tutorial Hours: 0, Lab Hours: 1
  • Required SWL
    100
  • Equivalent ECTS
    4
  • - Manolakis Dimitris G. and Vinay K. Ingle. Applied digital signal processing theory and practice. Cambridge university press 2011.