Lecture 16: Fast Fourier Transform (FFT), Aliasing, and Sampling Theorem with MATLAB Example @bahgalabiitdelhi7797
Lecture 16: Fast Fourier Transform (FFT), Aliasing, and Sampling Theorem with MATLAB Example  @bahgalabiitdelhi7797
Uploaded August 2020 | Updated September 2026, 1 hour ago
In this lecture, we discusses the Fast Fourier Transform method for computing the Discrete Fourier Transform (DFT). We look at the computational efficiency provided by FFT. Thereafter, we look using the fft function in MATLAB. We also discuss the aliasing phenomenon and the sampling theorem that suggests the criterion for choosing the sampling frequency to avoid aliasing. In the lecture, I have referred to a video on aliasing. The link for the video is: youtube.com/watch?v=xTo3gxsZOWo
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Lecture 16: Fast Fourier Transform (FFT), Aliasing, and Sampling Theorem with MATLAB Example

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