给出了一种基于支持向量机的数字调制信号分类器设计方法。
A classification method based on Support Vector Machine (SVM) is given in the digital modulation signal classification.
计算机模拟表明，该结构提高了信号分类识别的精度和灵敏度。
A simulation on computer showed that using the structure, the precision and sensitivity of signal recognition and classification were improved.
基于人工神经网络和模板匹配，提出了对低信噪比神经元信号分类的方法。
A method to classify neural spikes under low signal-to-noise ratio was investigated by using artificial neural networks and template-matching.
常规多信号分类(MUSIC)在估计信号或噪声子空间时未利用阵列的方向矢量信息。
Information on the steering vector is not exploited when estimating signal or noise subspaces in the standard multiple signal classification (MUSIC) method.
最后，本文对脑电信号分类、癫痫脑电特征提取的发展前景以及应用趋势做了相关探讨。
Finally, this paper makes an evaluation on the prospect and application of EEG classification and epilepsy feature extraction.
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.
结果表明，基于BAM/NBAM的通信信号分类方法是有效的，其性能优于传统的线性分类方法。
Simulation results show that the communication signal classification method based on BAM/NBAM is effective, its performance is better than the traditional linear classification method.
提出了将基于FFT的频率估计法和基于多重信号分类(MUSIC)的频率估计法相结合的新思路。
A new thought of combining frequency estimate method based on FFT with that based on multiple signal classification (MUSIC) is presented.
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.
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.
其重点与难点在于如何有效的提取信号中的特征量，即分类标准的找寻问题。
The emphasis and difficulty lie in how to extract characteristic of signal efficiently, that is, the problem of seeking classification criteria.
通信信号的分类识别是一种典型的统计模式识别问题。
The classification and identification of communication signal is a typical statistical pattern identification.
文章将这种方法用于无线电通信信号的分类与识别，取得良好的效果。
This method is applied to classify and identify the radio communication signals and has acquired good results.
特征提取的依据是利用有关数学工具，去掉对分类无用的信息，寻找最有效的信号特征来构成用于分类识别的模式特征向量。
The extracting process is to throw off the useless information and look for the most efficient signal feature to form a pattern feature vectors for classification with mathematics tools.
会议在法国持续了8天，之后这些专家将射频电磁场(手机发出的电磁信号)归入了2B分类。
After eight days in France, the group put radiofrequency electromagnetic fields (the kinds that come out of cell phones) into group 2b.
将神经网络技术应用于涡流检测信号的自动识别与分类是目前无损检测界关注的问题。
Close attention is paid on the application of neural network technology to automatic recognition and grading of eddy current signals in the field of NDT nowadays.
可以将本文的工作大致分为五个部分：数据采集、信号探测、分类识别、终端显示、实验分析。
The work of this paper can be divided into five parts: signal collecting, signal detection, classification recognition, terminal display and experimental analysis.
分析结果与地质采样结果及海图均吻合，说明本文提出的方法应用于窄带脉冲信号的海底底质分类是适用的。
The result is accord with geological sample and sediment chart, so this method can be applied on sediment classification of narrow-band pulse echo sound signal.
但它存在需要语音信号的先验知识，分类决策能力弱等缺点。
But it needs prior knowledge of speech signal and its classification and decision making capability is weak.
道路交通信号装置。信号牌装饰分类。第7部分：方向牌尺寸和组成规则。
Road traffic signs. pannel decor catalogue. part 7: dimensions and composition rules for directional informatory signs.
目的：提出一种新的基于波形特征和SVM的心电信号自动分类实现方法。
Objective: This paper put forward for classifying cardiac arrhythmia signals based on ECG waveform features and support vector machine (SVM).
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。
The classification experiment results of real target signals confirm the feasibility and effectiveness of the proposed method.
最后根据特征距离对语音信号类别进行决策分类。
Then dimension feature distance could be calculated and used to make a classification for the speech signal.
研究基于脑电信号排列组合熵的运动意识任务自动分类方法。
To present a new application of permutation entropy method for automatic brain consciousness task classification.
BP神经网络是一种具有代表性的神经网络模型之一，它适用于信号的分类。
BP neutral network is one of the representative neutral network models, it is suitable for classifying.
该文主要介绍了在声音模式识别的一般过程，其中包括声信号预处理、特征提取、模式分类过程的方法。
The paper introduces the process of voice pattern recognition, including the method for pre-processing, extraction of feature and classification of pattern.
水下弱信号的检测和分类是水声信号处理领域中的难题。
Detection and classification of weak underwater signals are difficult problems in processing acoustic signals.
针对动态信号模式分类问题，提出了一种反馈过程神经元网络模型和基于该模型的分类方法。
To solve the classification of dynamic signal, this paper proposed a feedback process neural networks model and classification methods based on this model.
紧接着介绍了交通信号控制的分类、方法，并着重讨论了单交叉路口信号控制的主要参数和评价指标。
Next, the paper introduces the classifications and methods of traffic signal control, and stresses the main parameters and the estimation indexes of the signal control of isolated intersection.
紧接着介绍了交通信号控制的分类、方法，并着重讨论了单交叉路口信号控制的主要参数和评价指标。
Next, the paper introduces the classifications and methods of traffic signal control, and stresses the main parameters and the estimation indexes of the signal control of isolated intersection.
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