Understanding the DTFT & Its Properties

A 15-part course with Anish Turlapaty

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Course Overview

As its name implies, the discrete-time Fourier transform is made from uniform samples taken from a continuous signal. This DTFT produces a function that is a periodic summation of its Fourier transform, and can then be applied to recreate the original signal. In this course from Anish Turlapaty, learn what defines the DTFT, how the DTFT relates to different functions and how its properties are related to the original signal, as well as how to evaluate the properties numerically and graphically.


  • Total Time 1 hr, 22 min
  • Lessons 15
  • Attachments 4
  • Exercises 34
  • 50 CQ

15 Lessons in This Course

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