Peak-to-peak features

Edge AI Lab

tags
edge-ai-lab
Feature Description
Global Peak to Peak of High Frequencies Measures the maximum variation in amplitude of the high-frequency components across the entire signal. High-frequency feature extraction involves isolating and analyzing the high-frequency components of a signal and is often used in image processing, audio analysis, and vibration monitoring. The peak-to-peak amplitude measures the difference between the maximum and minimum values of a signal over a given interval, referring in this context to the largest variation in the high-frequency components.
Global Peak to Peak of Low Frequencies Measures the maximum variation in amplitude of the low-frequency components across an entire signal. This feature provides valuable information about the overall intensity and range of low-frequency content in a signal. It is particularly valuable in applications where understanding the range and intensity of low-frequency components is crucial, such as in vibration analysis, audio engineering, and various scientific and industrial monitoring systems.