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一种多进制频移键控信号的调制分类及解调方法结束后,返 回到BCP继续呼叫处理的终结点。
-An MFSK signal modulation and demodulation method of classification after the call to return to the BCP continues to deal with the end point.
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利用时-频方法实现调制信号的识别,并给出正确识别率-CLASSIFICATION OF MODULATION MODES
USING TIME-FREQUENCY METHODS
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this a QAM64 captured signal for those who wants to check their algorithm for modulation classification and symbol rate estimation symbol rate used 1Mbps fs=20 or 40 MSPs and fc=5 MSPS-this is a QAM64 captured signal for those who wants to check thei
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文中研究了6种常用数字调制信号识别的特征参数集,并采用决策树判别方法进行分类识别。仿真结果表明,在SNR≥5dB时,识别正确率在99 以上,且当SNR≥20dB时,识别正确率达到100 。其特点是,算法简单,识别正确率高,达到了自动分类识别的目的,并有利于实现识别的实时化。-In this paper, we study the set of characteristic parameters of the six kinds of commonly used digital modulatio
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介绍有关无线通信信号的频谱检测与调制识别文章-wireless spectrum modulation classification
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In this paper, we consider the use of Modulation
Spectra for voice pathology detection and classification. To
reduce the high-dimensionality space generated by Modulation
spectra
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In this paper, we consider the use of Modulation
Spectra for voice pathology detection and classification. To
reduce the high-dimensionality space generated
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制式识别方面一篇很好的文章,采用了分布式融合的算法。-This is a good paper of the automatic modulation classification use distributed fusion.
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不同信号和不同信道影响下的自动调制分类的文章。-performance optimization of automatic modulation classification for different signal and channel types
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对现有数字调制方式识别类型有限的问题,提出一种基于星座图的分类算法。算法首先利用盲均衡技术克服信道的多径效应与系统问步误差,再对信号减法聚类,提取聚类中心与理想星座图模型进行匹配,从而实现MAsK、MPsK、MOAM等调制方式的识别。-Existing types of digital modulation recognition of limited problem, a classification algorithm based on the constellation. Firstly,
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ROBUST CLASSIFICATION OF MODULATION TYPES USING SPECTRAL FEATURES APPLIED TO H-ROBUST CLASSIFICATION OF MODULATION TYPES USING SPECTRAL FEATURES APPLIED TO HMM
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NFC MIFARE FELICA S50 S70 P2P ID卡 动物标签 18092 14443 技术详细介绍
(1)——概念、分类
(2)——国际标准
(3)——能量、调制
(4)——数据编码
(5)——防冲突
(6)——通讯协议概述
(7)——ID卡
(8)——动物标签
(9)——动物标签HDX
(10)——识别号的格式变化
(11)——Mifare系列卡的共性
(12)——三次相互认证
(13)——Mifare S50与Mifare
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Abstract—In slow frequency hopping systems, it is critical
to detect, classify, and mitigate interference, as it degrades the
system performance. Generalized likelihood ratio test algorithm
was proposed for the detection of interference. Howeve
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提出了一种多迸制频移键控(M娲K)信号调制分类及解调方法,选取截获接收机输出的MFSK信
号的时频脊线作为分类特征,利用无监督聚类算法求取最佳聚类数M.利用时频脊线的Ham:小波变换
估计码元宽度,并且利用对应最佳聚类数的聚类中心确定抽判门限,通过对时频脊线抽样判决,实现了
MFSK信号的解调.理论分析和对实际信号的处理结果证明了此算法的可行性.-new algorithm is proposed for elassillcation and demodulation of MFSK
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Automatic modulation classification detects the modulation type of received signals to
guarantee that the signals can be correctly demodulated and that the transmitted
message can be accurately recovered. It has found significant roles in militar
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Signal identification represents the task of a receiver
to identify the signal type and its parameters, with applications
to both military and commercial communications. In this paper,
we investigate the identification of spatial multiplexing (
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自己编的5种调制信号,Relief计算分类权重,仿真效果非常好。- Own five modulation signal, Relief computing classification weight, Simulation of the effect is very good.
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主要是实现调制识别,区分几种常用的数字调制信号。含有两个文件夹 其一为特征参数的仿真;其二为正确识别率的仿真。文件夹key feature simulink中:
运行程序会得到各特征参数之间区分图 从图中可看到特征参数的有效性,见图。
文件夹classification rate simulink中:运行main.m文件 可以得到正确识别率 见图。(It is mainly to realize modulation recognition and distinguish severa
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