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特征矢量     
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  feature vector
     Detection of Ship Targets from SAR Imagery Based on Feature Vector Matching
     基于特征矢量匹配的SAR海洋图像舰船目标检测
短句来源
     An Image Segmentation Method Based on Velocity Feature Vector for Moving Target Extraction
     基于速度特征矢量提取运动目标的图像分割方法
短句来源
     This paper discussed the feature vector extraction methed, the realization of Baum_Welch algorithm and the principle of HMM method.
     论文论述了特征矢量的获取,HMM的原理和Baum_Welch算法的实现方法。
短句来源
     Kernel Logistic Regression Based on Feature Vector Set
     基于特征矢量集的核Logistic回归
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     Underwater target recognition based on fractal feature vector
     基于分形特征矢量的水下目标识别
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  eigenvector
     Study to Synthetic Performance Evaluation for Engineering Machinery Based on Fuzzy Eigenvector Algorithm
     基于模糊特征矢量法的工程机械综合性能评价研究
短句来源
     The modal parameters of the endcover are measured by the experimental modal analysis,and the eigenvalue and eigenvector are calculated by solving the characteristic equation with the subspace iteration method.
     通过对端盖的振动模态测试与分析,测得端盖的各阶模态参数,用有限元法建立其振动特征方程,并通过子空间迭代法求其特征值和特征矢量
短句来源
     This system utilizes a eigenvector set composed of the parameters of a new r order cepstrum linear regressive coefficients of phonetic signal and fuzzy technique to realize special speaker recognition.
     该装置利用一种新的语音信号 r阶的倒谱线性回归系数等参数构成识别的特征矢量集 ,运用模糊矢量量化技术实现了特定人的语音识别。
短句来源
     In the appendix, the general method of finding eigenvalue and eigenvector is stated for reference.
     在附录中还列出特征值与特征矢量的一般求法,以资与正文所述相对照。
短句来源
     A Decorrelating DOA Estimation Based on the Principal Eigenvector for CDMA Frequency-Selective Fading Channels
     一种基于主特征矢量的CDMA频率选择性衰落信道解相关DOA估计算法(英文)
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  features vector
     Analysis of features vector in recognition of digital modulation schemes using ANN
     应用ANN的数字信号调制模式识别的特征矢量分析
短句来源
  character vector
     Synthesizing the instantaneous amplitude, frequency and phase of all kinds of basic digital modulated signals , this paper proposes five characters which form a complete and essential character vector space in which 2ASK, 4ASK, 2FSK, 4FSK, BPSK, QPSK and QAM can be distinguished, and presents two neural network structures, BP network and SGFM network , and unites them to construct an ANN modulation classifier.
     本文在综合分析了各种基本数字调制信号的瞬时幅度、瞬时频率、瞬时相位特性的基础上,提出了5个特征参数,形成了比较完备的能够区别2ASK、4ASK、2FSK、4FSK、BPSK、QPSK和QAM调制方式的特征矢量空间;
短句来源
     In the meantime,it adopts Linear Prediction Cepstrum Coefficients very difference ponderance and Mel Cepstrum Cofficients very difference ponderance to separate by way of character vector of speech signal to found system,besides comparing the recognizing capability of two systems.
     同时采用线性预测倒谱系数(Linear Prediction Cepstrum Coefficients简称LPCC)及其差分分量和LPC美尔倒谱系数(LPCMCC)及其差分分量分别作为语音信号的特征矢量建立系统,并对两个系统的识别性能进行了比较。
短句来源
     With artfully Kronecker product of signal frequency character vector, fourth--order cumulant, time delay and MUSIC algorithm, a new method , which can be used to arbitrary gaussian noise environment, and which estimates frequencies of multiple signals with the sampling rate significant less than Nyquist rate, is proposed in this paper.
     利用信号频率特征矢量Kronecker积并基于四阶累积量、时延和 MUSIC算法,本文提出了一种适用于任意高斯噪声环境的欠采样多信号频率估计的新方法。
短句来源
     This paper improvens and optimizes the method to consist of part of speech recognition,it confirms the pre-processor of speech signal,the arithmetic of port detect, the arithmetic of pick up character vector and the leading technology of today speech recognition—Hidden Markov Model,carries out through training and recognizing to model.
     本文对语音识别的各个组成部分进行了改进和优化,确定了语音信号预处理、端点检测算法、特征矢量的提取算法和当今语音识别领域的主流技术——隐马尔柯夫模型(Hidden Markov Model简称HMM)技术进行模型的训练和识别。
短句来源
     The basic constitutive model between system and Speech Recognition is same. In the exercising process, we can read the sample data from the wave file; calculate the character vector made by 12 ranks of LPC and 12 ranks of LPCC;
     系统的组成模块与语音识别系统的基本构成模型基本一致,在训练过程中,从语音库中的波形文件中读取采样数据,分帧计算出由12维线性预测系数和12维线性预测倒谱系数构成的特征矢量,并按照聚类的方法进行训练,得到后续语音识别时需要的模板,存放于模板库中。
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  feature vector
The test subwindow is labeled as defective, or not according to the Euclidean distance between the true feature vector representing the non-defective regions and the feature vector of the subwindow under test.
      
The feature vector of a subwindow of a test image is compared with that of a defect-free image in order to make a decision.
      
This paper proposes a new texture image retrieval method for the considering of the population search and random information exchange merits of evolving programming which can be used to optimize image feature vector extraction.
      
First, seven Hu's invariant moments are extracted as a feature vector.
      
Then the invariant feature vector is computed for each edge-pixel segment.
      
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  eigenvector
A simple and eigenvector-free formula of the general solutions to the constrained problem by generalized inverses of the coefficient matrices A and B is presented.
      
An eigenvector existence theorem in idempotent analysis
      
In this paper, we prove an eigenvector existence theorem for linear operators on abstract idempotent spaces in the framework of the algebraic approach.
      
Eigenvalue, eigenvector, and overlap matrix of the cobalt halide complex with thiazolidinethione have been estimated.
      
The eigenvector analysis and population analysis have shown that in bonding only s-and d orbitals are involved both in halides (CoX2) and their complexes (CoX2 · 2L).
      
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  features vector
Each scene picture is represented by a features vector v that contains the set of statistical measurements.
      
Given this amount of data, a reduction of dimensionality of he features vector was clearly advisable.
      
In this section we focus on the way to compute the features vector from building candidates closed contours.
      
Typically, the prototypes and the given features vector sequences are of different lengths.
      
This may be due to features vector that may not be discriminative enough.
      
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  character vector
A single element of a character vector is often referred to as a character string.
      
This attribute is a character vector containing the list of classes that an object inherits from.
      
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