Module 3 : Sampling and Reconstruction
Lecture 28 : Discrete time Fourier transform and its Properties
 
   Conclusion:
   In this lecture you have learnt:
 

For a Discrete Time Periodic Signal the Fourier Coefficients are related as .
 

DTFT is unstable which means that for a bounded 'x[n]' it gives an unbounded output.
 


We saw its time shifting & frequency shifting properties & also time scaling & frequency scaling.

 



Convolution Property for an LSI system is given as, if 'x[n]' is the input to a system with transfer function
'h[n] then the DTFT of the output 'y[n]' is the multiplication of the DTFTs of  'x[n]' and 'h[n]'.

 



We saw symmetry properties and DTFT of cross-correlation between 'x[n]' and 'h[n]' .

 

  Congratulations, you have finished Lecture 28. To view the next lecture select it from
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