Reconstruction of Communication Signal in Wireless Networks Based on Perturbation Compression Perception,ERICDATA高等教育知識庫
高等教育出版
熱門: 朱丽彬  黃光男  王美玲  王善边  曾瓊瑤  崔雪娟  
高等教育出版
首頁 臺灣期刊   學校系所   學協會   民間出版   大陸/海外期刊   政府機關   學校系所   學協會   民間出版   DOI註冊服務
篇名
Reconstruction of Communication Signal in Wireless Networks Based on Perturbation Compression Perception
並列篇名
Reconstruction of Communication Signal in Wireless Networks Based on Perturbation Compression Perception
作者 Juan Wang
英文摘要

With the maturity and development of new generation communication technology, the demand for wireless network communication quality is getting higher and higher. However, the existing wireless network data transmission models are greatly affected by the signal quality in the data transmission process, which seriously affects the quality of data transmission. To address the problem of signal perturbation affecting communication quality in wireless network communication, this study designs an improved perturbation compression reconstruction algorithm that can be used to process block-structured data based on the block sparse structure in the original signal, and constructs a single-user wireless network communication data transmission model based on this algorithm. The performance simulation test of the model shows that the MSE values of the model are lower than those of the conventional and perfect schemes used as comparisons under the same noise conditions and the transmitted compressed data length conditions. When the variance of Gaussian white noise is 0.125, the MSEs of the research design model, the conventional scheme and the perfect scheme are 0.031, 0.048, and 0.047, respectively. Experimental data show that the improved disturbance compressed sensing reconstruction algorithm can better reconstruct the compressed information and reduce the information loss caused by the disturbance in the compression process on the premise of removing the signal disturbance. This research result has reference significance for improving the signal quality of wireless network communication.

 

起訖頁 001-014
關鍵詞 perturbation compression-aware reconstructionwireless networkscommunication signalsblock sparse structurechannel
刊名 電腦學刊  
期數 202310 (34:5期)
DOI 10.53106/199115992023103405001   複製DOI
QR Code
該期刊
下一篇
Support Vector Machine based Automatic Classification Method for IoT big Data Features

高等教育知識庫  新書優惠  教育研究月刊  全球重要資料庫收錄  

教師服務
合作出版
期刊徵稿
聯絡高教
高教FB
讀者服務
圖書目錄
教育期刊
訂購服務
活動訊息
數位服務
高等教育知識庫
國際資料庫收錄
投審稿系統
DOI註冊
線上購買
高點網路書店 
元照網路書店
博客來網路書店
教育資源
教育網站
國際教育網站
關於高教
高教簡介
出版授權
合作單位
知識達 知識達 知識達 知識達 知識達 知識達
版權所有‧轉載必究 Copyright2011 高等教育文化事業股份有限公司  All Rights Reserved
服務信箱:edubook@edubook.com.tw 台北市館前路 26 號 6 樓 Tel:+886-2-23885899 Fax:+886-2-23892500