采用卡尔曼滤波的 ۲ D 目标跟踪

仿真了锁相环工作到一定时间后达到锁定状态的过程，程序采用的是一阶RC低通滤波器即二阶一型环(Simulation of the PLL to work until after a certain period of time to achieve lock-state process, the procedure is used first-order RC low-pass filter that is second-order one-ring)

An E-BOOK on OFDM basics and PAPR reduction Techniques

从一幅多个细胞的图像中，分割出单个的细胞，一个细胞一个小图。(more than one cell from the image, segmentation of individual cells, a cell a small map.)

4次牛顿差值多项式的matlab实现 数值分析实习作业(4 Newton polynomial difference)

光伏电池最大功率点的模糊控制算法（Fuzzy）(Fuzzy Algorithms for Controlling the Maximum Power Point of Photovoltaic Cells)

马氏距离是一种有效地计算两个样本集之间相似度的算法（数据之间协方差距离），与欧式距离相比，它考虑了各种特征之间的联系。本实验旨在通过给出的样本数据，设计一个最小马氏距离分类器并对测试点进行分类，然后将其与最小欧式距离分类器进行比较，实验得出当协方差矩阵为单位阵时，最小马氏距离分类器将与最小欧式距离分类器等价。本实验还根据实验样本设计贝叶斯分类器进行分类，并与最小马氏距离分类器进行比较，比较两种分类器的分类效果。(Markov distance is an effective method to compute the similarity between the two samples (data covariance distance), compared with the Euclidean distance, which takes into account the link between different characteristics. This experiment aimed at through the given sample data, design a minimum Mahalanobis distance classifier and classify the test points, and then compare it with the minimum Euclidean distance classifier. Experimental results showed that when the covariance matrix is a unit matrix, minimum Mahalanobis distance classifier with the minimum Euclidean distance classifier equivalent.In this experiment, according to the experimental design of the Bias classifier, and compared with the minimum distance classifier, the classification results of the two classifiers are compared.)

说明：  MATLAB操作程序，高斯光束在传播过程中，焦点处的三维光强分布(Matlab operation program)

移动机器人定位示例代码与推广卡尔曼滤波器 （EKF）。这个代码很有用的进行了卡尔曼滤波的移动机器人导航。

印刷电路板式换热器 有限元 直流道 流动 分析 超临界二氧化碳(Finite element analysis of straight channel of printed circuit board heat exchanger)

铁电存储器MFIS-FET结构开态电流和关态电流的描述(FRAM MFIS-FET structure of open state current and off current description)