1) modulation recognition
调制模式识别
1.
A high-precision phase feature extraction algorithm based on CORDIC principles and pipeline structures was presented in order to improve the probability of correct modulation recognition.
为了提高调制模式识别的准确率,基于CORDIC原理和流水线结构,介绍了一种高精度相位特征值提取算法。
2) modulation scheme recognition
调制模式识别
1.
An artificial neural network based adaptive UWB modulation scheme recognition algorithm is proposed.
采用三层MLP神经网络进行调制模式识别。
3) modulation identification
调制制式识别
1.
Signal modulation identification is one of the important elements most in adaptive transmission.
调制制式识别是信号自适应传输系统中的一项重要技术。
4) modulation recognition
调制方式识别
1.
In order to improve recognition probability and decrease recognition time of the classifier of modulation recognition,and to make it adaptive,the self-organizing feature map neural network(SOM) was used as the classifier of modulation recognition,applying its property of self-organizing and adaptation to adapt automatically variety of the signal to noise ratio.
为了提高调制方式识别分类器算法的正确识别概率和缩短识别时间,使其有自适应能力,利用自组织映射神经网络自组织、自适应的特点,提出采用自组织映射神经网络作为调制方式中的分类器,以自适应于信噪比的变化。
2.
Digital modulation recognition has found important applications both in military and civil,while the feature extraction is the preliminary step for digital modulation recognition.
通信信号调制识别技术在军事和民用领域都具有重要的应用前景,而特征参数的提取是调制方式识别的首要问题。
3.
The modulation recognition technique of QAM signal by the constellation diagram is given in this paper.
给出了利用信号星座图的QAM信号调制方式识别技术。
5) modulation classification
调制方式识别
1.
Likelihood methods for PSK/QAM modulation classification;
一种PSK/QAM调制方式识别的似然比方法
2.
Based on the communication signal modulation classification algorithm and software defined radio technology, this paper represents the signal processing framework which is applied in the implementation of the whole MC platform.
通信信号的调制方式识别,在军用(例如电子对抗)及民用(例如软件无线电)领域都有广阔的前景。
3.
Modulation Classification (MC) and Blind Receiver Design are extremely important both in commercial (such as software defined radio) and military (such as and electronic warfare) communication systems.
通信信号的调制方式识别与盲接收机设计,在军用(例如电子对抗)及民用(例如软件无线电)领域都有广阔的应用前景。
补充资料：国际模式识别学会
各国模式识别方面专家和团体的国际性学术组织，缩写IAPR。1978年成立。第一任主席是美国普度大学教授傅京孙。它是国际信息处理联合会（IFIP）成员，现有23个会员国。学会设有执行委员会、理事会和常务委员会。理事会由各会员国代表组成。1980年在迈阿密举行第五届会议期间，中国自动化学会模式识别与机器智能专业委员会正式加入学会，并有一名代表参加理事会。1982年第六届会议期间成立12个专业委员会：①统计模式识别技术;②结构及句法模式识别；③未定;④图像理解技术;⑤标准和软件；⑥特定目的体系结构;⑦遥感方面应用；⑧工业方面应用（分为机器人与自动化和工业中的一般应用两个分会）;⑨生物医学模式识别;⑩地图及线划图形处理的应用;文本处理的应用;自动语言识别。学会从1978年起出版定期交流的通讯，1983年后正式出版《模式识别通讯》。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条