特征法的英文

• method of characteristics

• "特征"英文翻译    characteristic; trait; featu ...
• "法"英文翻译    law
• "表征法" 英文翻译 :    characterization
• "捷征法" 英文翻译 :    short method
• "流动表征法" 英文翻译 :    flow characterization
• "特征" 英文翻译 :    characteristic; feature; properties; aspect; trait 地理特征 geographical features; 中国人的特征 characteristics of the chinese
• "特征机, 特征机" 英文翻译 :    characteristic machine
• "特征线，特征谱" 英文翻译 :    characteristic line
• "具有……特征" 英文翻译 :    educator driver swimmer actorery place state or character of grouor collection off
• "匡特征" 英文翻译 :    quant sign
• "模特征" 英文翻译 :    modular character
• "谱特征" 英文翻译 :    spectrum signature
• "群特征" 英文翻译 :    group character
• "声特征" 英文翻译 :    acoustical signature
• "实特征" 英文翻译 :    real characteristic
• "双特征" 英文翻译 :    bicharacteristics
• "特点, 特征" 英文翻译 :    distinguishing feature
• "特色,特征" 英文翻译 :    feature
• "特性，特征" 英文翻译 :    characteristic
• "特征 (代数)" 英文翻译 :    characteristic (algebra)
• "特征，品质" 英文翻译 :    trait
• "特征，特色" 英文翻译 :    feature noun
• "特征，专业" 英文翻译 :    speciality
• "特征比" 英文翻译 :    characteristic ratio
• "特征标" 英文翻译 :    character; signature

• In the first level , it used the tradition periphery characteristic to class approximately
  第一级，使用传统的外围特征法和投影变换系数法将待选字进行粗分。
• Then by using enlarged edge character method , outline distortion can be overcomed and correct image can be matched
  在此基础上，用扩展边缘特征法，克服轮廓变形对边缘匹配的影响，提高精度。
• Finally proposes model match with different resolution and configuration characteristic algorithm to recognize the character
  采用“变分辨率模板匹配算法”和“字符结构特征法”进行字符识别。
• In this thesis , our research is forced on speech enhancement method and probabilistic union model based on missing - feature
  本论文分别对其中的语音增强法和基于丢特征法的条件概率联合模型方法进行了研究。
• They include : 1 ) speech enhancement , 2 ) extracting robust speech features , 3 ) speech model compensation for noisy environments , 4 ) missing feature
  目前的抗噪声技术主要分为四类:语音增强法、提取抗噪语音特征法、噪声补偿法、丢特征法。
• The characteristic of this model is : a new interface edge singular element model is derived based on the numerical fundamental solutions obtained from the finite element eigensolutions method
  该模型的独特之处在于：基于有限元特征法得到的奇异性场数值特征解建立了一种新型界面端奇异单元。
• 8 . because the detection method using multi - spectral feature to identify weed is superior to other methods in real - time detection , the spectral characteristics of wheat and four kind of weeds from 666nm to 1176nm were studied
  针对田间杂草识别的多光谱特征法具有实时性强的优点，在理论分析和方法比较的基础上，对666 1176nm范围内的小麦和几种杂草的光谱特性进行了研究。
• And it firstly analyzes some character recognition algorithms used much at present , such as template matching algorithm , characters features algorithm and artificial neural network algorithm . and then it puts forward thoughtway of combination of character recognition algorithm
  同样，先对目前常用的字符识别算法(模板匹配法、字符特征法、人工神经网络)进行分析，然后提出组合识别法字符识别思想。
• The research indicates that the new method not only contains the super performance of original bayesian high - resolution method but also significantly reduces the computation quantity from 0 ( lk ) to 0 ( kxjxns ) . and the new method can be successfully extended to the case of multiple sources
  进行了新方法、原贝叶斯高分辨方位估计方法与多重信号特征法( music )和极大似然估计法( mle )的性能比较研究，揭示了新方法的优越性。
• There are mainly two type of algorithms used for spatial spectrum estimation : one is those based on bayesian maximum likelihood method , like the ml ( maximum likelihood ) algorithm , maximum entropy method and etc . , the others are based on the spatial decomposition or projection of correlation matrix , this kind of algorithm include vector characterization method , music ( multiple signal classification ) algorithm , projection matrix method , etc . music is a classical spatial spectrum estimation algorithm that has a super high resolution and is widely used today , however , it cannot estimate doa of signals that are correlated
  空间谱估计的算法大致分两大类:一是基于极大似然估计和最大后验概率估计统计理论的算法,包括:极大似然估计法( ml ) 、最大熵法等;另一类是基于对协方差矩阵进行子空间分解或投影的算法,包括:矢量特征法、多重信号分类法( music ) 、投影矩阵法等。其中, music法是一种经典的空间谱估计主流算法,具有超强的分辨性能,但它无法实现对相干信号进行测向分辨。