信号分类

简单电磁分析攻击中的信号分类是一个难点问题。

The classification of signals in SEMA ( Simple EM Analysis ) is a difficult problem .

语音信号分类是语音识别、说话人识别、语种辨识和语音合成的一个重要基础，而信号表示的方式和距离测度的选择，对分类性能影响很大。

Classification of speech signals is an important base of the speech recognition , speaker recognition , language identification and speech synthesis , and representation of signals and the choice of distance measures dramatically the performance of the classification of signals .

这种变化影响使用多信号分类（MUSIC）算法探测海洋表面流的到达角。

This change influences the direction of arrival of the sea stream obtained by the MUSIC algorithm .

基于共空间模式和K近邻分类器的脑-机接口信号分类方法

Classification of Brain-Computer Interface Signals Based on Common Spatial Patterns and K-Nearest Neighbors

基于BP网络的通信信号分类方法的进一步研究

Further study on the automatic recognition of communication signals based on BP network

BP神经网络对固井信号分类能力的研究

Study the Classifying Ability of the BP Neural Network on the Logging Signal

接下来详细研究了另一种非常重要的高分辨率估计算法&多重信号分类算法（MUSIC）。

The detailed research on another very important high-resolution estimation algorithm & multiple signal classification algorithm ( MUSIC ) .

重点讨论了EEG信号分类方法。

The paper focused on discussing EEG classification methods .

RBF神经网络在诱发脑电信号分类中的应用研究

Application Research of Evoked Potential Signal Classification Based on RBF Neural Networks

基于免疫RBF网络阵列的雷达信号分类识别方法

A Novel Recognition Method of Radar Signals Based on immune RBF Network Array

其次，文中介绍了波达方向（DOA）估计问题和DOA估计中应用最广的多信号分类法（MUSIC）。

Secondly , the thesis introduces the DOA problems and the widely used MUSIC method .

用主成分分析和Fisher准则的脑电信号分类

Classification of EEG Based on PCA and Fisher Discriminant Criteria

提出了一种基于特征分解的多信号分类算法估计罗兰C接收机天波延迟的信号处理新技术。

A novel signal processing technique using the eigendecomposition and multiple signal classification algorithm for estimating skywave delays in Loran-C receiver has been presented in this paper .

提出了基于心电时域特征与SVM的心电信号分类方法，将逐一鉴别多类模式的SVM分类算法应用到心电信号分类。

The SVM mufti-class classification method and time-domain feature of the ECG is applied to ECG classification .

多重信号分类（MUSIC）方法应用到时域空域数据的多偶极子定位计算中，避免了非线性最小二乘法的局部最小。

By using the MUSIC algorithm to locate multiple dipolar sources from EEG and MEG data , it can avoid the local minimum of non-linear least square .

功率谱中的多重信号分类（MUSIC）方法可有效检测出短数据长度信号中非整次频率分量，频谱分辨率较高。

MUSIC which is one of the power spectrum estimation methods can effectively detect the non-integer frequency component in short length signal , and its resolution is high .

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 .

基于EMD和神经网络的超声缺陷信号分类识别研究

Ultrasonic Signal Classification and Identification Study Based on Empirical Mode Decomposition and Neural Network

为能达到要求的角度分辨率，对该阵列应用了多重信号分类法（MUSIC）进行方位分辨，并校正了阵元间互耦对MUSIC算法的影响。

MUSIC algorithm is used to estimate target angles in order to accurately determine the direction and the distortion of MUSIC caused by mutual coupling between array elements is eliminated .

基于四阶累积量与核Fisher判别分析的MPSK信号分类方法

MPSK signal classification method based on fourth cumulants and kernel Fisher discriminant analysis

该方法首先运用多重信号分类（MUltipleSIgnalClassification，MUSIC）算法对多个局部放电源进行观测和计算，得到各个信号源的方位；

In the proposed method , firstly adopting the observation and calculation of multi-local discharge sources by multiple classification ( MUSIC ) algorithm , the azimuth of each signal source is obtained ;

主要原因是高分辨算法的典型代表阵元域多重信号分类（MUSIC：MUltipleSIgnalClassification）计算量过于庞大而无法实时实现。

The main reason is the computational load of the element-space multiple signal classification ( MUSIC ) algorithm which is the typical representation of high resolution algorithm is too large to be real-time implemented .

基于BAM网络和多重信号分类法的欠采样信号频谱分析

Frequency Analysis of Signal With sub-Sampling Based on BAM and MUSIC Algorithms

衰落信道中基于累积量的QAM信号分类

QAM signal classification over fading channels using cumulants

利用多重信号分类（MUSIC）对故障相电压信号进行功率谱估计，提出基于故障相电压功率谱的单相自适应重合闸新判据。

Multiple Signal Classification ( MUSIC ) is used to estimate the power spectrum of fault phase voltage , and the new criterion of single phase adaptive reclosure based on power spectrum is proposed .

Internet网上汉字与图形E-mail的解读、编存与传送但其目的是获得良好的时频分布，其最终目的不是应用于信号分类。

Readability of E-Mail with Chinese Characters or Graphics as Well as It 's Storage and Transmit by Internet But its purpose is for enhancing readability , not for signal classification .

一种基于幅度统计矩的MQAM信号分类方法

A MQAM Modulation Classification Method Based on Amplitude Statistical Moments

一种MFSK信号分类及码速率估计方法

A method of classification and code rate estimation of MFSK signals

利用累量不变量对MPSK信号分类

Classification of MPSK signals using cumulant invariants

将经典的多信号分类算法（MUSIC）用于研究脑电逆问题时存在两个问题：对有色噪音敏感和不能识别相干源。

The reported studies on EEG inverse by multiple signal classification ( MUSIC ) show the classical MUSIC algorithm suffers from two shortcomings : be sensitive to a color noise and fail in identifying synchronously active sources .