位置函数
- 与 位置函数 相关的网络例句 [注:此内容来源于网络,仅供参考]
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According to these two joint density functions, various joint probability density functions between the ambiguity solution and the position parameter solution are obtained, and various conditional probability density functions of baseline position parameter vectors are also obtained.
根据这两个联合概率密度公式得到了各种类型的模糊度和基线位置参数向量的联合概率密度函数,还得到了各种类型基线位置参数向量的条件概率密度函数。
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It solves the problem that the unitary contour presentation can not correctly extract face contour in a face image which suffers from scale, rotation etc. The definition of the internal and external energy function is provided. At the same time, the global matching algorithm and local matching algorithm is given. The experiment shows that this presentation and the accompanying matching algorithm can be used to extract the face contour very well. So the image segmentation can be implemented by using it.②By analyzing the recognition principle of PCA method, we can conclude that the face images coming from different surrounding consist of different face image space. This is the essential reason that makes the generality of PCA method worse. Also, we give a measurement means to measure the distance from different face image space, so we can analyze face image space more conveniently.③We also construct various scale models and rotation pose models to detect the scale and rotating angle of face image to be recognized. The experiment results show that the detecting precision is very high. So it is good for face image feature extraction and face image representation.④Similarly, we construct local feature models of face image and utilize them to detect the local feature of face image. At the same time, we put forward a novel face image local feature detection algorithm, locating step by step. The experiment results show that this method can accurately detect the location of local face feature in a image.⑤A novel face image presentation model, dual attribute graph , is put forward. Firstly, it utilizes attribute graph to present the face image, then exact the local principal component coefficient and Gabor transform coefficient of thc pixels which corresponds to the nodes of the graph as the attribute of the nodes. This representation fully makes use of the statistical characteristic of the local face feature and utilizes Gabor transform to present the topographical structure of face image. So DAG has more general property.⑥Based on the DAG presentation, we give a DAG matching function and matching algorithm. During the design of the function and algorithm, the noise factor, e. g., lighting, scale and rotation pose are considered and tried to be eliminated. So the algorithm can give more general property.⑦A general face image recognition system is implemented. The experiment show the system can get better recognition performance under the noise surrounding of lighting, scale and rotation pose.
本文在上述研究的基础上,取得了如下主要研究成果:①构造了一个通用的人脸轮廓模型表示,解决了由于人脸图象尺度、旋转等因素而使得仅用单一轮廓表示无法正确提取人脸轮廓的问题,并给出了模型内、外能函数的定义,同时给出了模型的全局与局部匹配算法,实验表明,使用这种表示形式以及匹配算法,能够较好地提取人脸图象的轮廓,可实际用于人脸图象的分割;②深入分析了PCA方法的识别机制,得出不同成象条件下的人脸图象构成不同的人脸图象空间的结论,同时指出这也是造成PCA方法通用性较差的本质原因,并给出了不同人脸空间距离的一种度量方法,使用该度量方法能够直观地对人脸图象空间进行分析;③构造了各种尺度模板、旋转姿势模板以用于探测待识人脸图象的尺度、旋转角度,实验结果表明,探测精确度很高,从而有利于人脸图象特征提取,以及图象的有效表示;④构造了人脸图象的各局部特征模板,用于人脸图象局部特征的探测;同时提出了一种新的人脸图象局部特征探测法---逐步求精定位法,实验结果表明,使用这种方法能够精确地得到人脸图象各局部特征的位置;⑤提出了一种新的人脸图象表示法---双属性图表示法;利用属性图来表示人脸图象,并提取图节点对应图象位置的局部主成分特征系数以及Gabor变换系数作为图节点的属性,这种表示方法充分利用了人脸图象的局部特征的统计特性,并且使用Gabor变换来反映人脸图象的拓扑结构,从而使得双属性图表示法具有较强的通用性;⑥在双属性图表示的基础上,给出双属性图匹配函数及匹配算法,在函数及算法设计过程中,考虑并解决了光照、尺度、旋转姿势变化等因素对人脸图象识别的影响,使得匹配算法具有较强的通用性;⑦设计并实现了一个通用的人脸图象识别系统,实验结果表明,该系统在图象光照、尺度、旋转姿势情况下,得到了较好的识别效果。
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In noncommutative scalar field theories, the appearing of nonplanar diagrams is related to permutation symmetry of field functions in the interaction Lagrangian, while in NCQED we can not arbitrarily change the positions of field functions in the interaction Lagrangian because different positions of the field functions correspond to different representations of the gauge group.
这里需要特别指出的是NCQED的非平面图产生的原因与非对易标量场根本不同,非对易标量场非平面图的产生是和相互作用拉氏量密度中场函数间位置的置换对称性有关,而在NCQED中我们不能随便交换相互作用拉氏量密度中场函数的位置,因为场函数的不同位置对应着规范群的不同表示。
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And the channel composed of the new radio induction system for communication is different from the parameter-constant channel and the traditional parameter-changing channel, its parameter is decided by the mutual induction between its antenna and induction-cable, by the location of its antenna, by the signal frequency passing through, its parameter has nothing to do with the time parameter. The channel composed of the new radio induction system is a new parameter-changing channel independently of time for communication.
而且,由新型无线感应系统组成的信道既不是恒参信道,也不是一般目前所知的变参信道,其信道传递函数的幅值只与信号的频率有关,与系统中天线和感应电缆之间的互感和天线的位置有关,而与时间无关,其信道传递函数的相位只与天线的位置有关,而与时间无关,由新型无线感应系统组成的信道是一种不随时间变化的新型变参信道。
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Based on these features the orientation relation function is used to extract structure information and we can get the writing order of each part of a character based on the normal writing rules of Chinese character.
通过对这些特征分析按照关系位置函数,得到文字的结构信息,并利用中文文字的书写时的书写规律,得出文字中个子图的书写顺序。
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A method of character structure analysis is proposed to analyze regional feature and orientation relation feature of calligraphic character. Based on these features the orientation relation function is used to extract structure information and we can get the writing order of each part of a character based on the normal writing rules of Chinese character.
通过对这些特征分析按照关系位置函数,得到文字的结构信息,并利用中文文字的书写时的书写规律,得出文字中个子图的书写顺序。
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To supply power for the appliances in high-speed EMS-maglev (electromagnetic suspension- magnetically levitated) vehicles, the position functions of self and mutual inductance in the linear generator were derived.
为解决高速电磁型高速磁浮车辆供电问题,推导了直线发电机线圈自感及互感位置函数。
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From idautils import * funclist=[0x004011F2, 0x00401200, 0x00401206] /*add all the other addresses here*//*在这里加上所有函数的起始地址*/ ea=ScreenEA for i in funclist: ea=i add_bpt(ea, 1, 4) bp=bpt_t get_bpt bp.flags ^=BPT_BRK bp.flags|=BPT_TRACE 下面给出我的一个实现: from idaapi import * from idautils import * funclist = [0x004011F2, 0x00401200, 0x00401206] ea=ScreenEA for line in funclist: ea = line add_bpt(ea,1,4) SetBptAttr For those cases where it's necessary to mark absolutely every function as a tracepoint, the IDA plug-in can be automated to find every function reference instead of doing it manually.
有了上面这个脚本之后,我们实际上就已经可以在每个函数的起始位置上都下一个 tracepoint 了。不过手工把每个函数的起始地址都写入上面那张表里还是比较枯燥的一个活,好在 IDA 插件里本身就提供一个能遍历所有函数的功能。我们完全可以编写一个能自动在每个函数的起始位置上都下上一个 tracepoint 的脚本出来,比如下面给出的这个脚本。
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Address the characteristics of non-uniform speed transmission, position function control and transmission ratio function control were presented to realize electronic gearbox. The differences between position function curve interpolation and general NC interpolation were analyzed. Considering the effect of uncontrollable continuous principal motion, interpolation slope and position function precompensation interpolation were presented. The relationship among interpolation, servo dynamic response and transmission precision was studied. The coordinate linkage relationship and electronic gearbox scheme in noncirclar gear hobbing were studied.
对电子齿轮箱实现非匀速比传动进行了研究,提出了位置函数控制与传动比函数控制两种非匀速比传动关系的实现方法;对位置函数控制方式,分析了位置函数曲线的插补与普通数控插补方法的区别,提出了插补斜率的概念与位置函数曲线的预补偿插补方法;对非匀速比电子齿轮箱传动精度进行研究,得出了插补精度、伺服系统动态性能指标与传动精度之间的关系;研究了非圆滚齿加工坐标联动的非匀速比传动关系,列出了多种可以满足要求的电子齿轮箱传动方案。4。
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This paper presents several control methods for BLDC motor, and describes their fundamental principles ,advantages and disadvantages in brief. The method of speed-independent function,based on a new flux linkage function,is explained in detail. This method makes it possible to detect the rotor position over a wide speed range from near zero to high speed.
本文介绍了几种无位置传感器无刷直流电动机的转子位置检测方法,并对它们的基本原理,优缺点作了简单的说明,详细地阐述了基于一种新磁链函数之上的与速度无关的位置函数控制方法,利用这种方法从零转速到高转速的宽速度范围内能检测到转子位置。
- 推荐网络例句
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In the United States, chronic alcoholism and hepatitis C are the most common ones.
在美国,慢性酒精中毒,肝炎是最常见的。
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If you have any questions, you can contact me anytime.
如果有任何问题,你可以随时联系我。
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Very pretty, but the airport looks more fascinating The other party wisecracked.
很漂亮,不过停机坪更迷人。那人俏皮地答道。