[PDF][PDF] 基于神经网络的侧向激光雷达信号去噪算法
马愈昭， 张岩峰， 冯帅 - 光电工程, 2023 - researching.cn
针对侧向激光雷达应用于气溶胶探测领域时, 雷达回波信号易受噪声影响这一问题,
本文提出了一种基于神经网络的激光雷达信号去噪算法. 该算法在卷积神经网络基础上融合残差 …
本文提出了一种基于神经网络的激光雷达信号去噪算法. 该算法在卷积神经网络基础上融合残差 …
Optimization of Hopfield neural network for improved pattern recall and storage using Lyapunov energy function and hamming distance: MC-HNN
In this paper, we propose a multiconnection-based Hopfield neural network (MC-HNN)
based on the hamming distance and Lyapunov energy function to address the limited …
based on the hamming distance and Lyapunov energy function to address the limited …
Optimization of Hopfield Neural Network (HNN) using multiconnection and Lyapunov Energy Function (LEF) for storage and recall of handwritten images
The HNN is often used as a human-like associative memory (AM). Nonetheless, HNNs
suffered from limited noise tolerance and limited storage capacity. However, unfortunately …
suffered from limited noise tolerance and limited storage capacity. However, unfortunately …
[HTML][HTML] A denoising algorithm based on neural network for side-scatter lidar signal
M Yuzhao, Z Yanfeng, F Shuai - Opto-Electronic Engineering, 2023 - oejournal.org
A side-scatter lidar is known to have evident advantages over other types of lidar in
atmosphere detection. However, the signal of the side-scatter lidar may suffer from the noise …
atmosphere detection. However, the signal of the side-scatter lidar may suffer from the noise …