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描述性统计量

峰值、RMS 水平、峰间幅值、波峰因子、动态时间畸变、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关注的信号，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。

函数

`cummax`	累积最大值
`cummin`	累积最小值
`envelope`	Signal envelope
`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
`rms`	Root-mean-square level
`rssq`	Root-sum-of-squares level
`seqperiod`	Compute period of sequence
`std`	标准差
`var`	方差

`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`	Find local maxima
`findsignal`	Find signal location using similarity search

`labeledSignalSet`	Create labeled signal set
`signalLabelDefinition`	Create signal label definition

App

Signal Analyzer

Visualize and compare multiple signals and spectra

标注功能

Signal Labeler

Label signal attributes, regions, and points of interest

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。

Prominence

The prominence of a peak measures how much the peak stands out due to its intrinsic height and its location relative to other peaks.

特色示例

Measuring Signal Similarities

Compare signals with different sample rates, measure delays, and compare frequency content; find a signal in a measurement and determine if it is periodic.

打开实时脚本