T_youhua

这是我学习《MATLAB程序设计与应用》刘卫国、陈昭平　 一书时第一章和第二章的课后习题 目录 exponential_e.m exsub.m fheritage.m initialise.m matrix.m matrix2.m matrixm.m matrix_c.m matrix_mul.m mult.m mywork1201.dll mywork1201.m normcdf_.m p41_4.m p41_5.asv p41_5.m p41_6.m p41_7.m p41_8.m p64_1.m p64_2.m p64_3.m p64_4.m p64_5.m p65_10_1.m p65_10_2.m p65_10_3.m p65_6.m p65_8.m(This is my learning "MATLAB design and application procedures," Liu Weiguo, Chenzhaobeng a first book chapters I and II of the after-school catalog exponential_e.m exsu Exercises b.m fheritage.m initialise.m matrix.m matrix 2.m matrixm.m matrix_c.m matrix_mul.m mult.m mywork1201.dll mywork1201.m normcdf_.m p41_ 4.m p41_5.asv p41_5.m p41_6.m p41_7.m p41_8.m p64_1.m p64_2.m p64_3.m p64_4.m p64_5.m p65_1 0_1.m p65_10_2.m p65_10_3.m p65_6.m p65_8.m)

等高线绘制 -以换取下载的基金会-赶紧下载啊啊(Contour drawing- in exchange for the foundations of the download- quickly download ah ah)

Classification of ictal and seizure-free EEG signals using fractionallinear prediction

雷达信号处理，包括CFAR检测，脉冲压缩等过程。(radar detection and signal dealing, including the CFAR, and pulse compression)

rapresents AR(1) model. dsp and correlation funtion of the ar(1) MODEL. it uses randn to generate vector and filter to do ar(1).

说明：  多目标跟踪软件流程如下： 初始化函数 初始化轨迹对象 读取一帧数据 前景检测 根据位置进行卡尔曼预测 匈牙利匹配算法进行匹配 分配好的轨迹更新 未分配的轨迹更新 删除丢掉的轨迹 创建新轨迹 结果展示(The flow of multi-target tracking software is as follows: Initialization function Initialize track object Read a frame of data Foreground detection Kalman prediction based on location Hungarian matching algorithm for matching Assigned track update Unassigned track update Delete lost tracks Create a new track Result display)

连续潮流计算 对不同网络进行电压稳定极限分析(OPF calculation)

DC2DC BUCK CONVERTER

可利用feko得到回波或根据公式构造回波，基于字典缩放的属性散射中心的参数提取，并重构回波(The echo can be obtained by using FEKO, or the echo can be constructed according to the formula. The parameters of the scattering center of the dictionary are extracted based on the dictionary scaling and the echo is reconstructed.)

基于BP神经网络的人脸角度检测，提供了人脸角度数据库。(Face angle detection based on BP neural network.The of face angle is provided.)