描述性统计量

峰值、RMS 水平、峰间振幅、波峰因子、动态时间规整、CUSUM 控制图、编辑距离

使用 findpeaks 定位信号的局部最大值，并按高度、宽度或相对高差对峰值进行排序。使用 peak2rms 函数确定信号的波峰因子，并计算常见的描述性统计量，如最大值、最小值、标准差和 RMS 水平。在更大的数据集中搜索感兴趣的信号，并按时间对齐信号。定位信号突然变化或漂移出目标范围的点。对信号添加标签以用于分析或机器和深度学习应用。

App

信号分析器	可视化和比较多个信号和频谱
信号标注器	Label signal attributes, regions, and points of interest, and extract features

函数

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统计量

`cummax`	累积最大值
`cummin`	累积最小值
`envelope`	信号包络
`max`	数组的最大元素
`mean`	数组的均值
`meanfreq`	Mean frequency
`medfreq`	Median frequency
`median`	数组的中位数值
`min`	数组的最小元素
`movmad`	移动中位数绝对偏差
`movmedian`	移动中位数
`peak2peak`	Maximum-to-minimum difference
`peak2rms`	Peak-magnitude-to-RMS ratio
`rssq`	Root-sum-of-squares level
`seqperiod`	Compute period of sequence
`std`	标准差
`var`	方差

特征提取

`alignsignals`	Align two signals by delaying earliest signal
`cusum`	Detect small changes in mean using cumulative sum
`dtw`	Distance between signals using dynamic time warping
`edr`	Edit distance on real signals
`findchangepts`	Find abrupt changes in signal
`finddelay`	Estimate delay(s) between signals
`findpeaks`	查找局部最大值
`refinepeaks`	Refine peak value and location estimates (自 R2024b 起)
`findsignal`	Find signal location using similarity search
`signalFrequencyFeatureExtractor`	Streamline signal frequency feature extraction (自 R2021b 起)
`signalTimeFeatureExtractor`	Streamline signal time feature extraction (自 R2021a 起)
`signalTimeFrequencyFeatureExtractor`	Streamline signal time-frequency feature extraction (自 R2024a 起)
`zerocrossrate`	Zero-crossing rate (自 R2021b 起)

信号标注

`labeledSignalSet`	Create labeled signal set
`signalLabelDefinition`	Create signal label definition
`countlabels`	Count number of unique labels (自 R2021a 起)
`filenames2labels`	Get list of labels from filenames (自 R2022b 起)
`folders2labels`	Get list of labels from folder names (自 R2021a 起)
`splitlabels`	Find indices to split labels according to specified proportions (自 R2021a 起)
`framelbl`	Partition label sequence into frames (自 R2024a 起)
`framesig`	Partition signal into frames (自 R2024a 起)
`signalMask`	Modify and convert signal masks and extract signal regions of interest (自 R2020b 起)
`binmask2sigroi`	Convert binary mask to matrix of ROI limits (自 R2020b 起)
`extendsigroi`	Extend signal regions of interest to left and right (自 R2020b 起)
`extractsigroi`	Extract signal regions of interest (自 R2020b 起)
`mergesigroi`	Merge signal regions of interest (自 R2020b 起)
`removesigroi`	Remove signal regions of interest (自 R2020b 起)
`shortensigroi`	Shorten signal regions of interest from left and right (自 R2020b 起)
`sigroi2binmask`	Convert matrix of ROI limits to binary mask (自 R2020b 起)
`sigrangebinmask`	Label signal samples with values within a specified range (自 R2023a 起)

主题

RMS Value of Periodic Waveforms
Find the root mean square value of a sine wave, a square wave, and a rectangular pulse train.
在数据中查找峰值
定位一组数据中的局部最大值，并确定这些峰值是否周期性出现。
相对高差
峰值的相对高差根据峰值本身高度及其相对于其他峰值的位置衡量其突出程度。较矮的孤立峰值可能会比虽然较高但在高峰范围中并不显著的一员更加突出。
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.
Choose an App to Label Ground Truth Data
Decide which app to use to label ground truth data: Image Labeler, Video Labeler, Ground Truth Labeler, Lidar Labeler, Signal Labeler, or Medical Image Labeler.