机器学习与信号深度学习

信号标签，功能工程，数据集生成

信号处理工具箱™ provides functionality to perform signal labeling, feature engineering, and dataset generation for machine learning and deep learning workflows.

应用

Signal Analyzer	Visualize and compare multiple signals and spectra
信号贴标器	Label signal attributes, regions, and points of interest, and extract features
EDF File Analyzer	View EDF or EDF+ files

职能

展开全部

信号标签

`LabeledSignalSet.`	创建标记信号集
`signalLabelDefinition`	Create signal label definition
`countlabels`	Count number of unique labels
`folders2labels.`	获取文件夹名称列表标签列表
`分裂标签`	Find indices to split labels according to specified proportions
`signermask.`	修改和转换信号掩模并提取感兴趣的信号区域
`binmask2sigroi.`	将二进制掩码转换为ROI限制的矩阵
`extendsigroi`	向左和向右扩展兴趣的信号区域
`提取物agroi.`	提取利息信号区域
`合作之歌`	合并信号区域
`removesigroi`	Remove signal regions of interest
`Shortensigroi.`	Shorten signal regions of interest from left and right
`Sigroi2binmask.`	Convert matrix of ROI limits to binary mask

Datastores and Data Import

`edfinfo`	Get information about EDF/EDF+ file
`edfwrite.`	创建或修改EDF或EDF +文件
`Edfheader.`	为EDF或EDF +文件创建标题结构
`Edfread.`	Read data from EDF/EDF+ file
`SignalDataStore.`	用于集合信号的数据存储

特征提取

`dlstft`	深度学习短时傅里叶变换
`stftLayer`	Short-time Fourier transform layer
`找到挑选`	发现信号的突然变化
`findpeaks`	Find local maxima
`findsignal`	使用相似性搜索查找信号位置
`fsst`	傅里叶同步性转换
`挪用`	估计瞬时带宽
`instfreq.`	估计瞬时频率
`pentropy`	信号光谱熵
`periodogram`	期间光谱功率谱密度估计
`pkurtosis.`	Spectral kurtosis from signal or spectrogram
`Powerbw.`	电力带宽
`pspectrum.`	Analyze signals in the frequency and time-frequency domains
`pwelch.`	Welch的功率谱密度估计
`signalFrequencyFeatureExtractor`	简化信号频率特征提取
`SignalTimeFeatureextractor.`	简化信号时间特征提取
`zerocrossrate`	零交叉率

话题

Choose an App to Label Ground Truth Data
决定用于标记地面真理数据的哪个应用程序：图像贴标器那视频贴图那地面真理贴标机那Lidar Labeler.，或者信号贴标器。
雷达和通信波形分类使用深度学习（相控阵系统工具箱）
This example shows how to classify radar and communications waveforms using the Wigner-Ville distribution (WVD) and a deep convolutional neural network (CNN).
Label Radar Signals with Signal Labeler（雷达工具箱）
用噪声标记脉冲雷达信号的时间和频率特征。
使用深度学习的行人和自行车分类（雷达工具箱）
Classify pedestrians and bicyclists based on their micro-Doppler characteristics using a deep learning network and time-frequency analysis.
Music Genre Classification Using Wavelet Time Scattering（小波工具箱）
使用小波时间散射和音频数据存储来分类音乐摘录的类型。
Wavelet Time Scattering Classification of Phonocardiogram Data（小波工具箱）
Classify human phonocardiogram recordings using wavelet time scattering and a support vector machine classifier.
使用内存外功能列出讲话的数字识别网络
Train a spoken digit recognition network on out-of-memory auditory spectrograms using a transformed datastore.