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AI for Signals

Signal labeling, feature engineering, dataset generation, anomaly detection

Signal Processing Toolbox™ provides functionality to perform signal labeling, feature engineering, and dataset generation for machine learning and deep learning workflows. The toolbox also offers an autoencoder object that you can train and use to detect anomalies in signal data.


Signal AnalyzerVisualize and compare multiple signals and spectra
Signal LabelerLabel signal attributes, regions, and points of interest, and extract features (Since R2019a)
EDF File AnalyzerView EDF or EDF+ files (Since R2021a)


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labeledSignalSetCreate labeled signal set
signalLabelDefinitionCreate signal label definition
countlabelsCount number of unique labels (Since R2021a)
filenames2labelsGet list of labels from filenames (Since R2022b)
folders2labelsGet list of labels from folder names (Since R2021a)
splitlabelsFind indices to split labels according to specified proportions (Since R2021a)
signalMaskModify and convert signal masks and extract signal regions of interest (Since R2020b)
binmask2sigroiConvert binary mask to matrix of ROI limits (Since R2020b)
extendsigroiExtend signal regions of interest to left and right (Since R2020b)
extractsigroiExtract signal regions of interest (Since R2020b)
mergesigroiMerge signal regions of interest (Since R2020b)
removesigroiRemove signal regions of interest (Since R2020b)
shortensigroiShorten signal regions of interest from left and right (Since R2020b)
sigroi2binmaskConvert matrix of ROI limits to binary mask (Since R2020b)
sigrangebinmaskLabel signal samples with values within a specified range (Since R2023a)
edfinfoGet information about EDF/EDF+ file (Since R2020b)
edfwriteCreate or modify EDF or EDF+ file (Since R2021a)
edfheaderCreate header structure for EDF or EDF+ file (Since R2021a)
edfreadRead data from EDF/EDF+ file (Since R2020b)
signalDatastoreDatastore for collection of signals (Since R2020a)
resizeResize data by adding or removing elements (Since R2023b)
paddataPad data by adding elements (Since R2023b)
trimdataTrim data by removing elements (Since R2023b)
dlstftDeep learning short-time Fourier transform (Since R2021a)
stftLayerShort-time Fourier transform layer (Since R2021b)
findchangeptsFind abrupt changes in signal
findpeaksFind local maxima
findsignalFind signal location using similarity search
fsstFourier synchrosqueezed transform
instbwEstimate instantaneous bandwidth (Since R2021a)
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
signalFrequencyFeatureExtractorStreamline signal frequency feature extraction (Since R2021b)
signalTimeFeatureExtractorStreamline signal time feature extraction (Since R2021a)
zerocrossrateZero-crossing rate (Since R2021b)
deepSignalAnomalyDetectorCreate signal anomaly detector (Since R2023a)


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