科技广场
科技廣場
과기엄장
SCIENCE TECHNOLOGY PLAZA
2012年
3期
85-87
,共3页
数字信号%频谱%高次方谱%信号分类%调制识别
數字信號%頻譜%高次方譜%信號分類%調製識彆
수자신호%빈보%고차방보%신호분류%조제식별
Digital Signal%Spectrum%High Order Spectrum%Signal Classification%Modulation Recognition
本文通过对常用数字信号的频谱及高次方谱进行分析,通过信号频域区别提取一组有效特征对常用数字信号进行分类。这组特征提取简单,且无需任何先验知识。仿真结果表明,在信噪比不低于0dB的情况下,正确识别率达到95%以上。
本文通過對常用數字信號的頻譜及高次方譜進行分析,通過信號頻域區彆提取一組有效特徵對常用數字信號進行分類。這組特徵提取簡單,且無需任何先驗知識。倣真結果錶明,在信譟比不低于0dB的情況下,正確識彆率達到95%以上。
본문통과대상용수자신호적빈보급고차방보진행분석,통과신호빈역구별제취일조유효특정대상용수자신호진행분류。저조특정제취간단,차무수임하선험지식。방진결과표명,재신조비불저우0dB적정황하,정학식별솔체도95%이상。
This paper analyzes the commonly used digital signal spectrum and high order spectrum,and extracts set of effective features by the difference between the frequency domain and then classifies the commonly used digital signal.This group of features are easy to extract,and need no prior knowledge of signals.The simulation results show that,in the signal-to-noise ratio not less than 0 dB cases,the correct recognition rate is higher than 95%.