Archive:: Machine Learning Research:: Science Publishing Group

Machine Learning Research

Archive

2026, Volume 11
1. Issue 1, Jun.
2025, Volume 10
1. Issue 2, Dec.
2. Issue 1, Jun.
2024, Volume 9
1. Issue 2, Dec.
2. Issue 1, Jun.
2023, Volume 8
1. Issue 2, Dec.
2. Issue 1, Jun.
2022, Volume 7
1. Issue 2, Dec.
2. Issue 1, Jun.
2021, Volume 6
1. Issue 2, Dec.
2. Issue 1, Jun.
2020, Volume 5
2019, Volume 4
2018, Volume 3
2017, Volume 2
2016, Volume 1
1. Issue 1, Dec.

Volume 11, Issue 1, June 2026

Research Article
The Compression Sensing Reconstruction for the 1-d Signal Based on Non-local Full Connection Layer

Juan Xie, Jinwang Zha, Jie Ren, Hui Zhang, Yadong Li, Xing Hu^*, Li Xiao, Gan Wang, Jian Lan, Caihong Cao

Issue: Volume 11, Issue 1, June 2026

Pages: 1-7

Received: 11 December 2025

Accepted: 29 December 2025

Published: 20 February 2026

DOI: 10.11648/j.mlr.20261101.11

Downloads:

Views:

Abstract: The compression sensing reconstruction for the 1-d signal can contribute to the communication of autonomous driving, intelligent robots, and fire exploration robots. To address the issue that fully connected layers in the LISTA method lack the ability to extract non-local features, this paper primarily designs a non-local fully connection layer and... Show More

Download PDF

View Online

Copyright © 2012 -- 2026 Science Publishing Group – All rights reserved.