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MATLAB | Understanding Power Spectral Density and the Power Spectrum @MATLAB | Uploaded February 2024 | Updated October 2024, 1 week ago.
Learn how to get meaningful information from a fast Fourier transform (FFT). There is a lot of confusion on how to scale an FFT in a way that provides an understanding of the properties of the time-domain signal, which is addressed in this tech talk. Specifically, it covers how to go from an FFT to amplitude, power, and power density and why you may choose one representation over another—and the scenarios in which they are valid.

Learn more:
- Understanding the Discrete Fourier Transform and the FFT: youtu.be/QmgJmh2I3Fw
- Equivalent Noise Bandwidth Derivation: bit.ly/3SJoVbI
- Download the MATLAB Live Scripts Used in the Video on GitHub: bit.ly/3OHWucJ

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Understanding Power Spectral Density and the Power Spectrum @MATLAB

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