无线通信
R2026b通过将 Deep Learning Toolbox™ 与 Communications Toolbox、5G Toolbox、WLAN Toolbox 和 Bluetooth Toolbox 结合使用，将深度学习应用于无线通信系统仿真。有关详细信息，请参阅AI 在无线通信中的应用 (Communications Toolbox)。
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精选示例
Bluetooth LE Positioning with Deep Learning
Compute the 3-D positioning of a Bluetooth LE node by using RSSI fingerprinting and a CNN.
AI for Positioning Accuracy Enhancement
Use AI to estimate the position of user equipment and compare performance with traditional TDoA techniques.
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.
Power Amplifier Modeling Using Neural Networks
Model a power amplifier (PA) using several different neural network (NN) architectures.
Train Autoencoders for CSI Feedback Compression
Compress downlink CSI feedback for 5G systems by using an autoencoder neural network.
