Elaborazione radar
Applicare il Deep Learning ai sistemi radar utilizzando Deep Learning Toolbox™ insieme a Radar Toolbox. Per le applicazioni di elaborazione del segnale, vedere Elaborazione del segnale.
Esempi in primo piano
Improving Weather Radar Moment Estimation with Convolutional Neural Networks
Train and evaluate convolutional neural networks (CNN) to improve weather radar moment estimation.
(Radar Toolbox)
- Da 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)
- Da 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)
- Da 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)
- Da R2021a
Label Radar Signals with Signal Labeler
Label the time and frequency features of pulse radar signals with added noise.
(Radar Toolbox)
- Da R2021a
Radar Target Classification Using Machine Learning and Deep Learning
Classify radar returns using machine and deep learning approaches.
(Radar Toolbox)
- Da 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)
- Da R2021a
SAR Target Classification Using Deep Learning
Create and train a simple convolution neural network to classify SAR targets using deep learning.
(Radar Toolbox)
- Da R2021b
MATLAB Command
You clicked a link that corresponds to this MATLAB command:
Run the command by entering it in the MATLAB Command Window. Web browsers do not support MATLAB commands.
Seleziona un sito web
Seleziona un sito web per visualizzare contenuto tradotto dove disponibile e vedere eventi e offerte locali. In base alla tua area geografica, ti consigliamo di selezionare: .
Puoi anche selezionare un sito web dal seguente elenco:
Come ottenere le migliori prestazioni del sito
Per ottenere le migliori prestazioni del sito, seleziona il sito cinese (in cinese o in inglese). I siti MathWorks per gli altri paesi non sono ottimizzati per essere visitati dalla tua area geografica.
Americhe
- América Latina (Español)
- Canada (English)
- United States (English)
Europa
- Belgium (English)
- Denmark (English)
- Deutschland (Deutsch)
- España (Español)
- Finland (English)
- France (Français)
- Ireland (English)
- Italia (Italiano)
- Luxembourg (English)
- Netherlands (English)
- Norway (English)
- Österreich (Deutsch)
- Portugal (English)
- Sweden (English)
- Switzerland
- United Kingdom (English)










