Mathematics for Understanding Waveform Relationships
March 18, 2019
Fast Fourier transform (FFT) and power spectral density (PSD) mathematics are powerful tools for analyzing a waveform’s characteristics. In addition to the FFT and PSD, there are other types of mathematics that explain the relationships between two or more waveforms.
Three common functions are presented in this course: transfer function, correlation, and cross-spectral density.
In this course, you will learn
- How to estimate and apply the transfer function
- The alternative forms of the scaled transfer function estimator
- How to apply ordinary and complex coherence
- Cross-spectral density (CSD), cross-correlation, and CSD estimation
To learn more about FFT and PSD, visit the VRU course Random Testing. To learn how the transfer function, coherence, and cross-spectral density are implemented in VibrationVIEW, see the VRU course VibrationVIEW Analyzer Software Package.
Enroll to track your progress.
Receive a certificate upon completion of the course and quiz.