Procesamiento 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.
Ejemplos destacados
Improving Weather Radar Moment Estimation with Convolutional Neural Networks
Train and evaluate convolutional neural networks (CNN) to improve weather radar moment estimation.
(Radar Toolbox)
- Desde R2024b
LPI Radar Waveform Classification Using Time-Frequency CNN
Train a time-frequency convolutional neural network (CNN) to classify received radar waveforms based on their modulation scheme.
(Phased Array System Toolbox)
Generate Novel Radar Waveforms Using GAN
Generate new radar waveforms using a Wasserstein generative adversarial network with a gradient penalty (WGAN-GP).
(Radar Toolbox)
- Desde R2024a
Hand Gesture Classification Using Radar Signals and Deep Learning
Classify ultra-wideband impulse radar signal data using a MISO convolutional neural network.
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.
Maritime Clutter Suppression with Neural Networks
Train and evaluate a convolutional neural network to remove clutter returns from maritime radar PPI images using the Deep Learning Toolbox™.
(Radar Toolbox)
- Desde R2022b
Pedestrian and Bicyclist Classification Using Deep Learning
Classify pedestrians and bicyclists based on their micro-Doppler characteristics using deep learning and time-frequency analysis.
(Radar Toolbox)
- Desde R2021a
Label Radar Signals with Signal Labeler
Label the time and frequency features of pulse radar signals with added noise.
(Radar Toolbox)
- Desde R2021a
Radar Target Classification Using Machine Learning and Deep Learning
Classify radar returns using machine and deep learning approaches.
(Radar Toolbox)
- Desde R2021a
Radar and Communications Waveform Classification Using Deep Learning
Classify radar and communications waveforms using the Wigner-Ville distribution (WVD) and a deep convolutional neural network (CNN).
(Radar Toolbox)
- Desde R2021a
SAR Target Classification Using Deep Learning
Create and train a simple convolution neural network to classify SAR targets using deep learning.
(Radar Toolbox)
- Desde R2021b
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