codes

说明：  单周期控制的软开关无桥升压PFC电路的研究(Soft Switch One Cycle Control bridgeless boost PFC circuit)

说明：  ransac算法Matlab 实现 RANSAC算法全称是随机抽样一致算法（random sample consensus,RANSAC），RANSAC算法的基本假设是样本中包含正确数据(inliers，可以被模型描述的数据)，也包含异常数据(outliers，偏离正常范围很远、无法适应数学模型的数据)，即数据集中含有噪声。(The ransac algorithm Matlab achieves the RANSAC algorithm's full name is the random sample consensus (RANSAC). The basic assumption of the RANSAC algorithm is that the sample contains the correct data (inliers, data that can be described by the model) as well as outliers (outliers). The normal range is too far to fit into the data of the mathematical model. That is, the dataset contains noise.)

ieee33节点潮流计算程序 无需输入原始数据，程序自带。如果需要则直接修改即可。(ieee33 node flow calculation procedures without input impedance)

matlab编的lqr控制三层结构的在地震作用下的响应(matlab series LQR control the response of the three-tier structure under seismic action)

说明：  一个简单的代码，用于说明OFDM发送器和接收器的操作，包括RF上变频和下变频；(A simple code to illustrate the operation of an OFDM transmitter and Receiver including RF upconversion and down-conversion ;)

k mean clustering in matlab

高斯噪声加人图像处理的实例举例 我来凑字数(watermark example)

Adaptive DS-CDMA Receiver

一堆沙子的横截面，可以使用 Margolus 型邻居仿真，但运动规则不同。 规则： 元胞有 2 个状态。状态= 0 是空的，状态= 1 代表沙子。 在任何时间步长，一个粒子，可以在2x2 块中向着底部运动。可能运动如下 所示。墙壁和底部将阻止粒子继续运动。 为了让该运动略有随机性，我亦补充说一项规则，有时处于下落状态的两个元胞还旋转，直到所有的动作都完成。(Cross-section of a pile of sand, you can type using the Margolus neighborhood simulation, but the movement rules are different. Rules: There are two cellular states. State = 0 is empty, state = 1 for sand. At any time step, a particle can be in the 2x2 block toward the bottom of the movement. May exercise the following. Walls and bottom to prevent the particles continue to campaign. To make the campaign a little random, I also added a rule, sometimes in the falling state of the two cell also rotate until all actions are completed.)

用FAMALE.TXT和MALE.TXT的数据作为本次作业使用的样本集，利用K-L变换对该样本集进行变换，与过去用Fisher线性判别方法或其它方法得到的分类面进行比较.(Use FAMALE. TXT and MALE. TXT data as the assignment is to use the data sets, by K-L of the sample set of change, and the past with Fisher transformation linear discriminative methods or other methods available for the classification comparison. )