스펙트럼 검출 및 변조 분류

Spectrum Sensing with Deep Learning to Identify 5G and LTE Signals

Train a semantic segmentation network using deep learning for spectrum monitoring.

Capture and Label NR and LTE Signals for AI Training

Scan, capture, and label bandwidths with 5G NR and LTE signals.

(Wireless Testbench)

Identify LTE and NR Signals from Captured Data Using SDR and Deep Learning

Use a spectrum sensing neural network to identify LTE and NR signals from wireless data you capture over the air.

(Wireless Testbench)

Modulation Classification by Using FPGA

Deploy a pretrained convolutional neural network (CNN) for modulation classification to the Xilinx^® Zynq^® UltraScale+™ MPSoC ZCU102 Evaluation Kit.

딥러닝을 사용한 변조 분류

변조 분류에 컨벌루션 신경망(CNN)을 사용합니다.

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).

(Phased Array System Toolbox)