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The topics covered include the basic concepts of information theory--entropy, mutual information, channel capacity, information rate, Shannon's noiseless coding theorem and Shannon's fundamental coding theorem; modeling of information sources--zero-memory and Markov models; modeling of information channels--BSC and BEC channels, additivity of information and cascaded channels; construction of compact source codes--Kraft inequality, compact codes, Huffman and LZW compression codes; and analysis and design of error-control channel codes--Hamming distance, binary linear codes and the parity-check matrix, Hamming codes, checksum codes, cyclic codes and the generator polynomial and CRC codes.

课程的内容包括:信息论的基本概念(熵、交互信息、信道容量、信息率、 Shannon无噪声编码定理和Shannon基本编码定理)、信源模型(无记忆模型和Markov模型)、信息信道模型(BSC 和 BEC模型、信息的可加性和级联信道),紧致信源编码设计(Kraft不等式,紧致编码,Huffman 和LZW压缩编码)以及差错控制信道码的设计与分析(海明距离,二元线性码,奇偶校验矩阵,海明码,校验和,循环码,生成多项式和CRC码)。

A human model using polynomial convolution surface is presented which is modeled by articulated skeletons convolved with some kernel function. The convolution surface and curve correspondence theorem under orthogonal projection is presented. The human contour is approximated with a convolution curve and 3D human pose can be estimated using a nonlinear optimization algorithm.

首先建立了一种新颖的多项式密度卷积曲面人体模型,该模型由连接体线骨架与某种卷积核卷积而成,整个曲面是一张连续曲面,调节多项式和半径参数可以让人体任意变形;给出了正交投影下卷积曲面和曲线对应的概念和相关定理,为二维的图像轮廓和三维人体模型之间建立对应关系;根据正交投影下卷积曲面与曲线对应定理,用卷积曲线去逼近人体的图像轮廓曲线,从而估计和恢复出三维人体运动姿态。

Based on polynomial-interpolation and curve-fitting theory, this paper presents a special feed-forward neural network using Jacobi orthogonal polynomial activation-functions, which exploits a group of order-increased Jacobi orthogonal polynomial functions as the activation-function of hidden-layer neurons.

根据多项式插值与逼近理论,以一组零阀值特例 Jacobi 正交多项式(第二类 Chebyshev 正交多项式)作为隐层神经元的激励函数,构造一种基于 Jacobi 正交基的前向神经网络模型。

Based on in comparison of all statistical criteria and behavior of estimated parameter the RRM with a fifth-order Legendre polynomial for both fixed effects and additive genetic effects, a seventh-order Legendre polynomial for permanent environment effects is equally well equipped to model all effects, which is the best model among different RRMs.

通过各种统计指标和估计参数行为的比较,确定固定效应和加性遗传效应镶嵌5阶Legendre多项式,永久环境效应镶嵌7阶Legendre多项式的随机回归模型为最优模型。

The polynomial truncation criterion is given to judge the error for the polynomial approximation.

提出对于NARLMA模型的神经网络结构进行多项式展开以实现系统的逐次分析,给出多项式截断准则,判定多项式近似的误差。

Because of its easily calculating and its accurately description parametric method has became mainstream in study field, polynomial hazard function distribution model was a large class of parametric models, when the dates are not readily handled by one of the common models such as exponential distribution or Weibull distribution, polynomial hazard function model always be used to provide adequate fits of the dates.

随着该学科的发展,大量参数、非参数方法相继提出,特别是生存分析的参数方法,以其处理简便、描述准确成为生存分析研究的主流方向。多项式危险函数模型是参数模型中的一大类,当一批数据不能用熟知的一些分布,诸如Weibull分布、对数正态分布进行很好的描述时,常常使用多项式危险函数模型。

A new method that transforms bitlevel waveform polynomial to word-level polynomial model is given, allowing for simple composition This method offers an efficient way to determine whether two descriptions from different design levels are equivalent, so component reuse, synthesis and verification across design levels can be realized. In addition, an experimental system using C language is established, including modules such as representation of waveform polynomial, decision of path senstization, delay computing, clocking based on single-period sensitization, clocking based on multi-period sensitization, test generation considering noise and transformation from bit-level waveform polynomial to word-level polynomial model. They respectively used to test models and techniques proposed in this paper.

另外,基于C语言本人设计开发了一个实验软件系统,该系统包括波形多项式表示模块、敏化通路判定模块、延时计算模块、单周期敏化的最小时钟周期精确确定模块、多周期敏化的最小时钟周期确定方法模块、考虑噪声的测试生成模块和位级波形多项式描述转化成字级多项式描述模块,分别用于对本文各章中提出的自动化设计的模型和方法进行实验验证。

The major achievement of this paper is: Based on characteristics of the traffic data distribution, execute pattern recognition operations on traffic condition on two dimensions by clustering, then use BP neural network to describe and forecast traffic flow aiming at each pattern. Making use of classic flow-occupancy inverse "V" model, implement polynomial fitting using least-squares algorithm and statistics method on flow curves to detect outliers which are proved to be not accord with practice through the actual implement, then use the moving average model to recorrect the outliers and absent. Make correlation analysis on muti-direction flow queues of the intersection and ones of upriver intersections, choose flow queue with high correlation as assistant one to improve the error tolerance of the prediction system, at the same time we can use the method to give an estimation of flow in intersection with out sensors. We design and implement an SOA(Service-Oriented Architecture)-based UTDD(urban traffic data mining development) with high expansibility and performance, which implement unified management and call of the data-mining application though defining a XML-based description of data-mining process and a common interface to call data-mining process, finally we build traffic flow prediction application model on UTDD.

根据交通流量数据分布的特征,提出基于k-means的二次聚类方法,对交通流量在流量大小和时间上进行模式划分,进而对各个交通流模式进行基于BP神经网络的描述和预测,从而提高模型对流量预测的精度; 2)根据流量/时间占有率倒&V&字形曲线分布模型,提出基于最小二乘法的三次多项式曲线拟合和统计方法的异常检测方法,实际应用表明该方法能够有效识别异常数据,然后根据移动平均算法对异常数据进行修正; 3)基于序列相关性分析,分别对预测方向的交通流量数据序列、上游路口相关序列以及预测路口其它各个方向上的交通流量序列进行分析,选择相似性流量序列,作为辅助序列提供其他没有检测器路口的流量估计; 4)设计和实现了基于SOA(Service-Oriented Achitecture)的高性能、可扩展的智能交通数据挖掘系统UTDD,该系统通过定义基于XML的数据挖掘过程描述和通用的过程模型接口,实现数据挖掘应用的统一管理和调用,最后在UTDD上建立了基于路口流量预测的应用模型。

In order to design optimum nozzle for air-air missile solid rocket motor, the mass model of solid rocket motor, the nozzle specifice impulse model of solid rocket motor and the objective function are established. Five different type of nozzles are choosen lor calculation: Conical, parabolidal,two different arcs,quadiatic polynominal and cubic polynominal.

以两种空-空导弹固体火箭发动机喷管作为算例,为此,建立固体火箭发动机的质量模型,喷管的质量比冲模型和目标函数模型,选择五种喷管扩散段内型面:锥形喷管,抛物线喷管,双圆弧喷管,二次多项式喷管和三次多项式喷管,进行优化设计,利用优化理论,成功地完成了五个设计变量的优化问题。

There are few equivalent circuit modeling methods for UWB antennas. This thesis compares the characteristic of some existing modeling methods and presents a general and precise modeling method for UWB antennas. Firstly, establish the narrowband model of the antenna, and compute the difference between input admittances of the antenna and its narrowband model. Secondly, implement rational approximation of the difference to build the macromodel, and convert it into SPICE equivalent circuits. Lastly, combine the narrowband model and the macromodel to form the ultimate equivalent circuit model of the antenna.

本论文针对目前UWB天线等效电路建模方法比较少的现状,结合现有的天线建模方法的一些特点,研究了一种系统通用、模型精度高的新建模方法:首先建立超宽带天线的窄带模型,计算天线及其窄带模型导纳的差值;接着对差值进行有理多项式拟合,得到相应的宏模型,并转化为SPICE等效电路;最后合并窄带模型与宏模型电路,得到天线等效电路模型。

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推荐网络例句

I didn't watch TV last night, because it .

昨晚我没有看电视,因为电视机坏了。

Since this year, in a lot of villages of Beijing, TV of elevator liquid crystal was removed.

今年以来,在北京的很多小区里,电梯液晶电视被撤了下来。

I'm running my simile to an extreme.

我比喻得过头了。