Teaching & Academics Online Course by Udemy, On Sale Here
DFT, Properties of DFT, IDFT
An excellent training about Engineering
Digital Signal Processing: Discrete Fourier Transform (DFT)
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 DFTCircular convolutionDifference between circular convolution and linear convolutionPerforming linear convolution using circular convolutionFinding IDFT for a given X(k)Many example problems are also explained on all concepts. After the completion of this course, definitely you are able solve problems on your own.
Udemy is the leading global marketplace for learning and instruction
By connecting students all over the world to the best instructors, Udemy is helping individuals reach their goals and pursue their dreams.
Study anytime, anywhere.
Reviews
There are no reviews yet.