证据融合

his example calculates the impedance of a microstrip line on a printed circuit board. It compares the impedance with that obtained from an analytical formula given the dimensions of the micro strip and permittivity of the circuit board. This formula is available as a script with the following arguments: width, height, height of conductor, and permittivity of circuit board.

说明：  检测图像的特征点，并检测两个图像之间的匹配的特征点(Image feature point detection and matching between two images detected feature points)

LMI2 For control systems

Use of Arma in filter kalman for estimating a curve prosess

应用于三电平的基于g-h坐标系的SVPWM算法，相比于传统的SVPWM算法，计算量大大减小了。(Applied to the three-level SVPWM algorithm based gh coordinates, compared to traditional SVPWM algorithm to calculate is greatly reduced.)

线性时不变离散时间系统在时域中可以通过常系数线性差分方程来描述，冲击响应序列可以刻画其时域特性。本实验通过使用MATLAB函数研究离散时间系统的时域特性，以加深对离散时间系统的差分方程、冲激响应和系统的线性和时不变特性的理解。(The linear time-invariant discrete-time system can be described in the time domain by a linear difference equation with constant coefficients. The impulse response sequence can describe its time-domain characteristics. This experiment uses MATLAB functions to study the time domain characteristics of discrete-time systems to deepen the understanding of differential equations, impulse response, and linear and time-invariant characteristics of the system.)

倒立摆的数学建模以及各种控制的方案与实验结果(Inverted pendulum control of mathematical modeling and a variety of programs and experimental results)

image retrieval,content based image retrieval

说明：  两类二维相关正态分布条件下的最小错误率贝叶斯分类器，基于最小风险的贝叶斯分类器，Parzen窗法非参数估计分类器程序，Fisher线性判别法分类器程序。(Under normal conditions two types of two-dimensional correlation of minimum error rate of Bayesian classifier, the minimum risk-based Bayesian classifier, Parzen window method estimates non-parametric classification procedures, Fisher Linear Discriminant classifier program.)

利用关联规则发对市场篮子的数据进行挖掘，对同一交易购买的物品的可能性进行了分析。(Association rules are a simple but very useful form of data mining that describe the probabilistic co-occurrence of certain events within a database. They were originally designed to analyse market-basket data, in which the likelihood of items being purchased together within the same transaction were analysed.)