The classification accuracy of experiment EEG signals reach 89%.
对真实脑电数据的分类正确率达到89%。
Detection and classification of weak underwater signals are difficult problems in processing acoustic signals.
水下弱信号的检测和分类是水声信号处理领域中的难题。
Offers a new approach of model classification in group testing based on the combination of the testing signals and the feedback informations of defectives.
本文对群试问题的模型分类，提出按试验信号与坏元的反馈信息相结合分类的新观点。
A new algorithm based on higher order cumulants is proposed for classification of MPSK signals in multipath channel environments.
针对多径信道中MPSK信号的调制分类问题，提出一种新的基于高阶累量的分类算法。
The classification experiment results of real target signals confirm the feasibility and effectiveness of the proposed method.
基于大量海试实测信号样本的多组实验表明，该分类方法具有良好的工程应用前景。
An improved algorithm for classification of MDPSK signals based on cumulants is presented in this paper, which is robust to the error of the carrier synchronization.
本文研究了收发双方存在载波频差时利用累积量实现调制分类这一实际问题，提出一种改进的基于累积量的信号分类算法。
The basic tasks of radio signals modulation identification are analysis, decision and classification of modulation type for intercepted unknown signals.
无线电信号调制识别的基本任务就是对所截获的不明信号的通带调制种类进行分析、判决和归类。
The classification of the errors due to unwanted signals is described.
阐述按不希望有的信号所产生误差的分类法。
The signals of the sensor array present clustering characteristics according to above characteristics of liquors. It could get the best results of classification classified by raw materials.
传感器信号在上述白酒特征上表现出很强的聚类特性，按原料划分可以得到最佳的分类效果。
To make full use of the feature information of signals in feature extraction for target recognition and classification, this paper discusses establishment and feature compression of raw feature space.
为在特征提取中充分利用目标信号的特征信息，对原始特征空间的建立和特征压缩的过程进行了讨论。
The classification of modulation types of communication signals is a problem of typical pattern recognition. It involves many perplexing factors.
通信信号调制类型的分类识别是一种典型的模式识别问题，它涉及到很多复杂的因素。
The method with different order amplitude moments makes use of the product moment of signal magnitude for classification of MPSK/MQAM signals.
不同阶幅度矩进行调制分类的方法利用MPSK/MQAM信号每符号段波形起始点与其它点幅度的乘积统计矩特征进行调制分类。
To recognize modulation type of signals involves the process of detection, estimation, feature extraction and classification.
调制识别中融合了检测、估计、特征提取、分类识别等内容。
On the basis of above analysis, the application of the BP neural networks in leak signals identification and classification is made.
在此基础上，研究了BP神经网络在泄漏信号识别和分类中的应用。
The application of the method to the classification of four action EMG signals proves its effectivity and high recognition rate.
通过对4类不同的动作肌电信号进行分类，验证了该方法的有效性和高识别率。
Objective To investigate some methods on extraction and classification of electroencephalography (EEG) signals during mental tasks for designing brain computer interfaces (BCI).
目的在基于思维作业的脑-机接口中，探讨如何提取脑电信号特征并对其进行准确有效地分类。
Objective To investigate some methods on extraction and classification of electroencephalography (EEG) signals during mental tasks for designing brain computer interfaces (BCI).
目的在基于思维作业的脑-机接口中，探讨如何提取脑电信号特征并对其进行准确有效地分类。
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