The Research of Digital Modulation Signal Recognition Based on Wavelet Transform and Neural Network

被引：0
|
作者：
Li Xia [1 ]
Lv YingHua [1 ]
机构：
[1] Beijing Univ Posts & Telecommun, Beijing 1008760, Peoples R China
来源：
PROCEEDINGS OF THE 14TH YOUTH CONFERENCE ON COMMUNICATION | 2009年
关键词：
signal recognition; wavelet transform; neural network; feature extraction;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Communication signal modulation recognition is a valuable study which appeals more and more people. The application of the wavelet transform in feature extraction and signal recognition is discussed. It studies the methods of continuous wavelet transform of the digital modulation signals. Simple figures of modulating signal are used in the continuous wavelet transform, Using the method of the maximum value of the digital signal for extracting parameters. Finally based on these characteristic parameters neural network was used to recognize the modulation pattern of digital signals.
引用
收藏
页码：581 / 585
页数：5
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