Digital Signal Processing (DSP) Tutorial - DSP with the Fast Fourier Transform Algorithm

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Digital Signal Processing (DSP) refers to the process whereby real-world phenomena can be translated into digital data for analysis, manipulation, and synthesis. DSP has transformed the way we interact with the physical world when it comes to recording sound, taking pictures, or analyzing other natural phenomena. None of this would be possible without the Fast Fourier Transform (FFT) algorithm, which allows huge amounts of data sampled in the time domain to be quickly transformed into the frequency domain. In this Digital Signal Processing Tutorial, we discuss implementations of the FFT in JavaScript and how we as developers can leverage JavaScript libraries such as DSP.js for signal analysis, synthesis, and manipulation.

Watch this video to learn:

- What is Digital Signal Processing (DSP)
- What is the Fast Fourier Transform (FFT) algorithm
- How does DSP work