findpeaks to locate the local maxima of a signal and sort the
peaks by height, width, or prominence. Determine the crest factor of a signal using the
peak2rms function and compute common descriptive statistics like maxima,
minima, standard deviations, and RMS levels. Search for signals of interest in larger data
sets and align signals in time. Locate points where a signal changes abruptly or drifts
beyond a target range. Label signals for analysis or machine and deep learning
|Maximum elements of an array|
|Average or mean value of array|
|Median value of array|
|Minimum elements of an array|
|Moving median absolute deviation|
|Compute period of sequence|
|Align two signals by delaying earliest signal|
|Detect small changes in mean using cumulative sum|
|Distance between signals using dynamic time warping|
|Edit distance on real signals|
|Find abrupt changes in signal|
|Estimate delay(s) between signals|
|Find local maxima|
|Find signal location using similarity search|
|Streamline signal frequency feature extraction|
|Streamline signal time feature extraction|
|Create labeled signal set|
|Create signal label definition|
|Count number of unique labels|
|Get list of labels from folder names|
|Find indices to split labels according to specified proportions|
|Modify and convert signal masks and extract signal regions of interest|
|Convert binary mask to matrix of ROI limits|
|Extend signal regions of interest to left and right|
|Extract signal regions of interest|
|Merge signal regions of interest|
|Remove signal regions of interest|
|Shorten signal regions of interest from left and right|
|Convert matrix of ROI limits to binary mask|
Find the root mean square value of a sine wave, a square wave, and a rectangular pulse train.
Locate the local maxima in a set of data and determine if those peaks occur periodically.
The prominence of a peak measures how much the peak stands out due to its intrinsic height and its location relative to other peaks.
Human Activity Recognition Simulink Model for Smartphone Deployment (Statistics and Machine Learning Toolbox)
Generate code from a classification Simulink® model prepared for deployment to a smartphone.
Decide which app to use to label ground truth data: Image Labeler, Video Labeler, Ground Truth Labeler, Lidar Labeler, Signal Labeler, or Audio Labeler.