레이다 처리
Deep Learning Toolbox™를 Radar Toolbox와 함께 사용하여 레이다 시스템에 딥러닝을 적용합니다. 신호 처리 응용 분야에 대해서는 신호 처리 항목을 참조하십시오.
추천 예제
Improving Weather Radar Moment Estimation with Convolutional Neural Networks
Train and evaluate convolutional neural networks (CNN) to improve weather radar moment estimation.
(Radar Toolbox)
- R2024b 이후
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)
- R2024a 이후
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)
- R2022b 이후
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)
- R2021a 이후
Label Radar Signals with Signal Labeler
Label the time and frequency features of pulse radar signals with added noise.
(Radar Toolbox)
- R2021a 이후
Radar Target Classification Using Machine Learning and Deep Learning
Classify radar returns using machine and deep learning approaches.
(Radar Toolbox)
- R2021a 이후
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)
- R2021a 이후
SAR Target Classification Using Deep Learning
Create and train a simple convolution neural network to classify SAR targets using deep learning.
(Radar Toolbox)
- R2021b 이후
MATLAB 명령
다음 MATLAB 명령에 해당하는 링크를 클릭했습니다.
명령을 실행하려면 MATLAB 명령 창에 입력하십시오. 웹 브라우저는 MATLAB 명령을 지원하지 않습니다.
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