Application of Artificial Neural Network in Communication Signal Processing

被引:0
|
作者
Wu, Yuchun [1 ]
机构
[1] Xian Aeronaut Univ, Xian 710007, Shaanxi, Peoples R China
来源
AGRO FOOD INDUSTRY HI-TECH | 2017年 / 28卷 / 03期
关键词
Artificial neural network; communication signal; air pollution; TOOL;
D O I
暂无
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
With the advancement of science and technology, artificial neural network has been proposed for the financial price of foreign exchange market and other aspects. Then, the development of artificial neural network technology has made the neural network widely used and demonstrated its powerful ability. In this paper, through the research on the application of artificial neural network in communication signal processing, the neural network model of the communication signal in the air pollution was successfully established.
引用
收藏
页码:1920 / 1924
页数:5
相关论文
共 50 条
  • [1] The processing of AE signal based on artificial neural network
    Ma, YK
    Li, JL
    Dong, YZ
    Wang, ZL
    Yan, XZ
    TRENDS IN NDE SCIENCE AND TECHNOLOGY - PROCEEDINGS OF THE 14TH WORLD CONFERENCE ON NDT (14TH WCNDT), VOLS 1-5, 1996, : 1849 - 1852
  • [2] Signal processing of satellite attitude based on artificial neural network
    Shanghai Jiaotong Daxue Xuebao, 11 (1352-1354):
  • [3] Application of Genetic Algorithm to Configure Artificial Neural Network for Processing a Vector Multisensor Array Signal
    Dykin, V. S.
    Musatov, V. Yu.
    Varezhnikov, A. S.
    Bolshakov, A. A.
    Sysoev, V. V.
    2015 INTERNATIONAL SIBERIAN CONFERENCE ON CONTROL AND COMMUNICATIONS (SIBCON), 2015,
  • [4] Neural Network Signal Processing for LTE Receiver Application
    Robinson, Josh
    Carmack, Joseph
    Bhatia, Amit
    Majewski, John
    Kuzdeba, Scott
    Farkas, Joe
    Hombs, Brandon
    Koch, Thomas
    2021 IEEE INTERNATIONAL SYMPOSIUM ON DYNAMIC SPECTRUM ACCESS NETWORKS (DYSPAN), 2021, : 309 - 314
  • [5] The application of neural network in the voice signal processing system
    Zhang, LX
    Liu, CX
    An, G
    Feng, ZJ
    ISTM/2003: 5TH INTERNATIONAL SYMPOSIUM ON TEST AND MEASUREMENT, VOLS 1-6, CONFERENCE PROCEEDINGS, 2003, : 1053 - 1056
  • [6] Method and application of data processing on artificial neural network
    Li, Chunhao
    Li, Lihui
    Yang, Yinsheng
    Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice, 1997, 17 (07): : 106 - 109
  • [7] Application Research on Artificial Neural Networks for Processing Noise Signal
    Wang, Xueqing
    Sun, Fayi
    Shan, Renliang
    Zhao, Tongwu
    2008 INTERNATIONAL WORKSHOP ON EDUCATION TECHNOLOGY AND TRAINING AND 2008 INTERNATIONAL WORKSHOP ON GEOSCIENCE AND REMOTE SENSING, VOL 1, PROCEEDINGS, 2009, : 640 - +
  • [8] Signal processing using artificial neural network for BOTDA sensor system
    Azad, Abul Kalam
    Wang, Liang
    Guo, Nan
    Tam, Hwa-Yaw
    Lu, Chao
    OPTICS EXPRESS, 2016, 24 (06): : 6769 - 6782
  • [9] The improvement And Application of Fuzzy Neural Network In Communication Signal Identification
    Yun, Lin
    Zhou, Ruolin
    2010 6TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS NETWORKING AND MOBILE COMPUTING (WICOM), 2010,
  • [10] Implementation of Artificial Neural Network on Raspberry Pi for Signal Processing Applications
    Bharadwaja, Vishwanath
    Ananmy, R.
    Nikhil, Sarraf
    Vineetha, K. V.
    Shah, Jalpa
    Kurup, Dhanesh G.
    2018 INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, COMMUNICATIONS AND INFORMATICS (ICACCI), 2018, : 1488 - 1491