Main Content

Signal Processing

Extend deep learning workflows with signal processing applications

Apply deep learning to signal processing by using Deep Learning Toolbox™ together with Signal Processing Toolbox™, Wavelet Toolbox™, or DSP System Toolbox™. For audio and speech processing applications, see Audio Processing. For radar processing applications, see Radar Processing. For applications in wireless communications, see Wireless Communications.


  • Signal Labeling
    Manual and automated labeling of signal attributes, regions of interest, and points
  • Classification
    Classify signal attributes, perform signal segmentation via sequence-to-sequence classification
  • Regression
    Signal source separation, denoising, signal recovery
  • Anomaly Detection
    Detect signal anomalies using neural networks and autoencoders
  • Embedded AI Systems
    Deep learning on ARM®-based devices and embedded NVIDIA® GPUs