1)  vector vectorial product
向量的向量积
2)  vector
向量
1.
Vector analysis of EEG in patients with paranoia type of schizophrenia and normal subjects;
偏执型精神分裂症病人与正常人脑电图向量分析
2.
Vector Valued Stieltjes-Newton s Rational Interpolants Based on Generalized Inverse;
基于广义逆的向量值Stieltjes-Newton型有理插值
3.
The Use of the Matrix Elementary Line Operation for the Maximum Linear Independence Group of the Vector Group;
利用矩阵的初等行变换求向量组的极大线性无关组
3)  vectors
向量
1.
The composite product properties can be denoted by a series of attaching degree vectors.
提出了复合材料制品质量的贴近度综合评定方法,复合材料制品的性能可以用一系列的隶属度向量表示,利用这些隶属度向量,考察2个模糊集合的接近程度来进行判定,旨在对产品的可用性及产品性能给出较为客观的评价方法。
2.
The paper debates mainly on the distance of a vector has relation to formative linear subspaces by another two vectors.
讨论了复内积空间上某向量与另一(两)个向量所张成的线性子空间的距离间的关系,得到了复内积空间上有关这些距离的一个等式。
3.
How can themlinearly independent vectors group in n dimensions linear spaces V be extended to the basis of linear spaces,the concrete and valid methods are not given in the higher algebra and linear algebra textbooks.
m个n维(m
4)  tangent vector & normal vector
切向量与法向量
5)  vector rotating
向量旋转
1.
Deducing error equation that used vector rotating and transfer of axes theory,Measuring out measurement parameter error on different orthogonality by testing optical-electrical device.
提出误差推导的一种新方法,利用向量旋转及坐标系变换理论推导出误差公式。
6)  Characteristic vector
特征向量
1.
An exploration into various proofs of a theorem about characteristic vectors and zero-input responses;
特征向量的零输入解定理及其证法探讨
2.
A Method Of Finding The Solution Of Master Characteristic-Root And Characteristic Vector Of The Reciprocal Matrix;
正互反矩阵的主特征根及其特征向量的一种求法
3.
The characteristic vectors are composed of computed MFCC(MEL frequency cepstrum coefficient) and difference MFCC(difference MEL frequency cepstrum coefficient) as well as wavelet packet characteristic entropy in every frequency band after wavelet packet is decomposed.
提出了一种将倒谱特征和小波包特征熵相结合的直升机声目标识别新算法,首先分析了直升机声信号的特点,计算了声信号的MFCC(MEL频率倒谱系数)、差分MFCC(差分MEL频率倒谱系数)和小波包分解后各个频带内的小波包特征熵组成的特征向量,并以此向量输入反向误差传播(Back Propagation,BP)神经网络进行训练,再用训练好的神经网络进行不同直升机型号的识别,最后给出了统计结果。
参考词条
补充资料:自由向量


自由向量
free vector

自由向t[触v“,贫;e:060皿。“‘.eKTop] 见向盆(Wdor).
说明:补充资料仅用于学习参考,请勿用于其它任何用途。