Signal Processing - MATLAB & Simulink (original) (raw)

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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.

Categories

• 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

Featured Examples