Understanding Power Spectral Density and the Power Spectrum

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: - Equivalent Noise Bandwidth Derivation: - Download the MATLAB Live Scripts Used in the Video on GitHub: -------------------------------------------------------------------------------------------------------- Get a free product trial: Learn more about MATLAB: Learn more about Simulink: See what’s new in MATLAB and Simulink: © 2024 The MathWorks, Inc. MATLAB and Simulink are registered trademarks of The MathWorks, Inc. See for a list of additional trademarks. Other product or brand names may be trademarks or registered trademarks of their respective holders.