本页对应的英文页面已更新,但尚未翻译。 若要查看最新内容,请点击此处访问英文页面。

机器学习和深度学习

信号标记、特征工程、数据集生成

Signal Processing Toolbox™ 为机器学习和深度学习工作流提供执行信号标注、特征工程和数据集生成的功能。

函数

全部展开

labeledSignalSetCreate labeled signal set
signalLabelDefinitionCreate signal label definition
findchangeptsFind abrupt changes in signal
findpeaksFind local maxima
findsignalFind signal location using similarity search
fsstFourier synchrosqueezed transform
instfreqEstimate instantaneous frequency
pentropySpectral entropy of signal
periodogramPeriodogram power spectral density estimate
pkurtosisSpectral kurtosis from signal or spectrogram
powerbwPower bandwidth
pspectrumAnalyze signals in the frequency and time-frequency domains
pwelchWelch’s power spectral density estimate

App

Signal AnalyzerVisualize and compare multiple signals and spectra

标记功能

Signal LabelerLabel signals for analysis or machine and deep learning applications

主题

Signal Classification Using Wavelet-Based Features and Support Vector Machines

Classify human electrocardiogram signals using wavelet-based feature extraction and a support vector machine classifier.

Classify Time Series Using Wavelet Analysis and Deep Learning

Classify ECG signals using the continuous wavelet transform and a deep convolutional neural network.

相关信息

Deep Learning in MATLAB (Deep Learning Toolbox)

使用深度学习进行序列分类 (Deep Learning Toolbox)

特色示例