Module 3 : Sampling and Reconstruction
Lecture 28 : Discrete time Fourier transform and its Properties
 
Objectives:
Scope of this Lecture:

In the previous lecture we defined digital signal processing and understood its features. The general procedure is to convert the Continuous Time signal into Discrete Time signal. Then we try to obtain back the original signal. In this lecture we will study the concepts of Discrete time Fourier Transform and Signal Representation.
Representation of discrete time periodic signal .
Discrete Time Fourier Transform (DTFT) of an aperiodic discrete time signal .
Another way of representing DTFT of a periodic discrete time signal.
Properties of DTFT
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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