深度学习在信号处理领域的应用
通过将 Deep Learning Toolbox™ 与 Signal Processing Toolbox™ 或 Wavelet Toolbox™ 结合使用,将深度学习应用于信号处理。有关音频和语音处理领域的应用,请参阅深度学习在音频处理领域的应用。有关无线通信中的应用,请参阅使用深度学习的无线通信。
App
信号标注器 | Label signal attributes, regions, and points of interest, and extract features |
函数
labeledSignalSet | Create labeled signal set |
signalLabelDefinition | Create signal label definition |
signalMask | Modify and convert signal masks and extract signal regions of interest |
countlabels | Count number of unique labels |
folders2labels | Get list of labels from folder names |
splitlabels | Find indices to split labels according to specified proportions |
signalDatastore | Datastore for collection of signals |
dlstft | Deep learning short-time Fourier transform |
stftLayer | Short-time Fourier transform layer |
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