Compet7

说明：  EKF仅仅利用了非线性函数Taylor展开式的一阶偏导部分（忽略高阶项），常常导致在状态的后验分布的估计上产生较大的误差，影响滤波算法的性能，从而影响整个跟踪系统的性能。最近，在自适应滤波领域又出现了新的算法——无味变换Kalman滤波器（Unscented Kalman Filter-UKF）。UKF的思想不同于EKF滤波，它通过设计少量的σ点，由σ点经由非线性函数的传播，计算出随机向量一、二阶统计特性的传播。因此它比EKF滤波能更好地迫近状态方程的非线性特性，从而比EKF滤波具有更高的估计精度。 (EKF only uses non-linear function of the first-order Taylor expansion of some partial derivatives (ignoring higher order terms), often leading to the posterior distribution of the state estimates to generate large errors affect the performance of filtering algorithms, which affect the whole tracking system performance. Recently, the field of adaptive filtering algorithms and the emergence of new- and tasteless transform Kalman filter (Unscented Kalman Filter-UKF). EKF UKF filter is different from the idea that it points through the design of a small amount of σ by σ point spread through the nonlinear function to calculate the random vector first and second order statistical properties of the transmission. Therefore it is better than the EKF filter nonlinear characteristics equation of state approach, which is more than the EKF filter estimation accuracy.)

通过构造加博函数进行加博滤波实现对指纹图像的分割(By constructing Gabor function Gabor filter is on the fingerprint image segmentation)

program for solving a set of differential algebraic equations

根据水位过程线，分析全场的潮汐调和常数图，20个字(According to the water level hydrograph analysis audience tidal harmonic constants map, 20 words)

以grach的方法来分析网络流量，并对网络流量进行预测，划定1980s为训练，以20s为预测(The grach method to analyze the network traffic, and to predict the network traffic, delineated 1980s for training, to 20s as the forecast)

一种支持向量机的矿井提升机故障诊断方法，方便写提升机故障诊断的(A support vector machine of Mine Hoist Fault Diagnosis Method for Writing Hoist Fault Diagnosis)

联合格自适应交互多模型算法。根据目标情况调整格间距。(United grid adaptive interacting multiple model algorithm.)

Floyd算法又称为弗洛伊德算法，插点法，是一种用于寻找给定的加权图中顶点间最短路径的算法。　　通过一个图的权值矩阵求出它的每两点间的最短路径矩阵。(Floyd algorithm, also known as Floyd algorithm, insertion point method, is used to find a given vertex-weighted graph shortest path algorithm. By weight of a graph matrix find its shortest path between two points of each matrix.)

总体平均经验模态分解EEMD程序可用于信号进行时频分析，比EMD程序更好用。(The overall average empirical mode decomposition EEMD program can be used to signal time-frequency analysis, better than the EMD program.)

机器学习经典决策树算法的实现 输入训练标签输出预测结果(the classificial machine learning algorithm, input label and traning set and get predictions)