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。
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.
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。
A new algorithm based on higher order cumulants is proposed for classification of MPSK signals in multipath channel environments.
一个BCI系统是由信号采集、特征提取、分类算法、命令输出等单元组成。
A typical BCI system consists of several parts, such as signal acquisition, feature extraction, classification algorithm, command output and so on.
为提高电压扰动信号分类识别的精度，提出了一种基于数学形态学与动态时间扭曲的新算法。
A novel algorithm based on the mathematical morphology and the dynamic time warping was proposed for improving the accuracy of voltage disturbance classification.
按噪声信号采集方式、重建算法和结果表示方式对该技术进行了分类。
The techniques are categorized in terms of noise signal acquiring methods, reconstruction algorithms, and display modes.
多重信号分类(MUSIC)算法是通过对数据协方差矩阵进行本征分解获得信号空间谱估计的方法。
MUSIC (MUltiple SIgnal Characterization) is a special spectral estimation method based on the eigen decomposition of the sample covariance matrix.
因为大多数模式分类算法与信号的形状密切相关，而信号的形状很大程度上随检测频率的变化而变化。
Most pattern classification algorithms rely heavily on the shape of the signal, which can vary considerably with frequency.
将上述特征提取及分类算法对实测的卡车、轿车和中巴车三种车型的噪声信号样本进行分类。
Using this feature extraction and classification algorithm, this article classifies the practical acoustic signals from the truck, car and bus.
针对此问题，提出了一种基于小波和高阶累积量相结合的分类算法，先对MFSK与8ps K信号进行小波变换，再利用四阶累积量进行识别。
To solve this problem, a new classification algorithm was proposed in this paper, which made wavelet transform on MFSK and 8psk at first, and then used four-order cumulants recognition.
在这里我们将支持向量机理论应用于脑电信号的分类中，取得与LDA算法相近的效果。
Here we applied the SVM theory to the classification of the EEG and gained the result similar to the LDA.
在这里我们将支持向量机理论应用于脑电信号的分类中，取得与LDA算法相近的效果。
Here we applied the SVM theory to the classification of the EEG and gained the result similar to the LDA.
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