무선 통신

무선 통신 시스템 응용 분야에서 딥러닝 워크플로 확장

Deep Learning Toolbox™를 Communications Toolbox, 5G Toolbox, WLAN Toolbox, Bluetooth Toolbox와 함께 사용하여 무선 통신 시스템 시뮬레이션에 딥러닝을 적용합니다. 자세한 내용은 AI를 사용한 무선 통신 (Communications Toolbox) 항목을 참조하십시오.

카테고리

추천 예제

Bluetooth LE Positioning with Deep Learning

Bluetooth LE Positioning with Deep Learning

Compute the 3-D positioning of a Bluetooth LE node by using RSSI fingerprinting and a CNN.

(Bluetooth Toolbox)

  • R2024b 이후
AI for Positioning Accuracy Enhancement

AI for Positioning Accuracy Enhancement

Use AI to estimate the position of user equipment and compare performance with traditional TDoA techniques.

(5G Toolbox)

  • R2024a 이후
Structurally Compress Neural Network DPD Using Projection

Structurally Compress Neural Network DPD Using Projection

Structurally compress a neural network DPD to reduce computational complexity and memory requirements using projection and principal component analysis.

(Communications Toolbox)

  • R2024a 이후
Power Amplifier Modeling Using Neural Networks

Power Amplifier Modeling Using Neural Networks

Model a power amplifier (PA) using several different neural network (NN) architectures.

(Communications Toolbox)

  • R2024a 이후
CSI Feedback with Autoencoders

CSI Feedback with Autoencoders

Compress downlink channel state information (CSI) for 5G systems by using an autoencoder neural network.

(Communications Toolbox)

  • R2022b 이후