Parallel frequency function-deep neural network for efficient complex broadband signal approximation

no code implementations • 19 Jun 2021 • Zhi Zeng, Pengpeng Shi, Fulei Ma, Peihan Qi

Here, a parallel frequency function-deep neural network (PFF-DNN) is proposed to suppress computational overhead while ensuring fitting accuracy by utilizing fast Fourier analysis of broadband signals and the spectral bias nature of neural networks.

DemodNet: Learning Soft Demodulation from Hard Information Using Convolutional Neural Network

no code implementations • 23 Nov 2020 • Shilian Zheng, Xiaoyu Zhou, Shichuan Chen, Peihan Qi, Xiaoniu Yang

The simulation results show that under the AWGN channel, the performance of both hard demodulation and soft demodulation of DemodNet is very close to the traditional methods.

Spectrum Sensing Based on Deep Learning Classification for Cognitive Radios

no code implementations • 13 Sep 2019 • Shilian Zheng, Shichuan Chen, Peihan Qi, Huaji Zhou, Xiaoniu Yang

We present spectrum sensing as a classification problem and propose a sensing method based on deep learning classification.

Classification General Classification +1