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Digital Signal Processing: Discrete Fourier Transform (DFT) | Free Udemy Course
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Digital Signal Processing: Discrete Fourier Transform (DFT) | Free Udemy Course

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DFT, Properties of DFT - Free Course | Free Udemy Course

4.49
(6 ratings)
680 students
Created by:
Koti Reddy
Course Language EnglishCourse Caption Course Length 01:59:26 to be exact 7166 seconds!Number of Lectures 14
This course includes:
  • 2 hours hours of on-demand video
  • Full lifetime access
  • Access on mobile and TV

The Discrete Fourier Transform (DFT) is one of the most important tools in Digital Signal Processing. It enables us to find the spectrum of a finite duration sequence.Discrete Fourier Transform (DFT) is an algorithm to implement Discrete Time Fourier Transform (DTFT) on computers for signal processing by sampling at equally spaced frequency points of one cycle of DTFT. Unlike DTFT (DTFT is continuous), the output of DFT is discrete and hence can be implemented on a computer.DTFT is a continuous function of frequency, where as DFT is a discrete function of frequency.Computing the DFT is equivalent to solving a set of linear equations.In direct DFT method, the computational part is too long.The Discrete Fourier Transform (DFT) can be computed efficiently using a Fast Fourier Transform (FFT).Fast Fourier Transform (FFT) is an algorithm to reduce number of complex additions and complex multiplications while calculating DFT.In this course, I have explained about Discrete Fourier Transform ( DFT) and Inverse DFT (IDFT).The topics areRelationship between DFT and DTFTFinding DFT for a given x(n)Properties of DFTLinear convolutionCircular convolution or Periodic convolutionDifference between circular convolution and linear convolutionPerforming linear convolution using circular convolutionMany example problems are also explained on all concepts.After the completion of this course, definitely you are able solve problems on your own.Who this course is for:Engineering students

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14 Lectures | 01:59:26
4.49
(6 course ratings)
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