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Procesamiento de radar

Amplíe flujos de trabajo de deep learning con aplicaciones de sistemas de radar

Aplique deep learning a sistemas de radar con Deep Learning Toolbox™ y Radar Toolbox. Para obtener información sobre las aplicaciones de procesamiento de señales, consulte Procesamiento de señales.

Temas

Maritime Clutter Suppression with Neural Networks (Radar Toolbox)
Train and evaluate a convolutional neural network to remove clutter returns from maritime radar PPI images using the Deep Learning Toolbox™. (desde R2022b)
Pedestrian and Bicyclist Classification Using Deep Learning (Radar Toolbox)
Classify pedestrians and bicyclists based on their micro-Doppler characteristics using deep learning and time-frequency analysis. (desde R2021a)
Label Radar Signals with Signal Labeler (Radar Toolbox)
Label the time and frequency features of pulse radar signals with added noise. (desde R2021a)
Radar Target Classification Using Machine Learning and Deep Learning (Radar Toolbox)
Classify radar returns using machine and deep learning approaches. (desde R2021a)
Radar and Communications Waveform Classification Using Deep Learning (Radar Toolbox)
Classify radar and communications waveforms using the Wigner-Ville distribution (WVD) and a deep convolutional neural network (CNN). (desde R2021a)
SAR Target Classification Using Deep Learning (Radar Toolbox)
Create and train a simple convolution neural network to classify SAR targets using deep learning. (desde R2021b)

Ejemplos destacados

Hand Gesture Classification Using Radar Signals and Deep Learning

Classify ultra-wideband impulse radar signal data using a MISO convolutional neural network.

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Human Health Monitoring Using Continuous Wave Radar and Deep Learning

Reconstruct electrocardiogram signals using a bidirectional long short-term memory network and wavelet multiresolution analysis.

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