Deep Complex-Valued Neural Networks

For baseband wireless signal processing. A follow-up research of my thesis. Can be used for other complex-valued (CV) signal processing. Based on PyTorch and Keras.

Contributions are wellcomed.

Objectives

• Baseband signal parameter estimation using DL model
• CV convolutional layers
• Activation, pooling etc. layers for CV neural networks
• Scaleable and rotatable convolutional layers

Current tasks

• CV-CNN layer building
• PSK, GFSK generator
• GFSK signal parameter estimation
• PSK, GFSK signal classifier with both RV-CNN and CV-CNN

Reference

Paper for CV-CNN and more: Deep Complex Networks

Planning to use capsule net brought by Hinton

中文说明

开发一个用于处理无线通信基带信号的深度的神经网络, 理论上也适用于其他复信号处理. 重点在于:

1. 研究复信号卷积网络的基础构架
2. 研究如何处理复数时间序列特有的相位, 和采样率问题

目前在探索信号参数估计的一些问题.

欢迎交流合作