gen_pwm_pid

说明：  求取大型稀疏矩阵的特征根和特征向量，适用于matlab6.1以上的环境(strike a large sparse matrix eigenvalue and eigenvalues above applies to the environment matlab6.1)

教你怎么从入门到掌握MATLAB的使用。浅显易懂的实例(Teach you how from beginning to master the use of MATLAB. Easy to understand examples)

模拟2个独立窄带信号分别以20°，60°的方向入射到均匀线阵上，信号间互不相关，与噪声相互独立，噪声为理想高斯白噪声，阵元间距为入射信号波长的1／2，信噪比为20dB，阵元数为10，采样快拍次数为200。(Simulate two independent narrowband signals in the direction of 20 °, 60 ° of the incident on the ULA, among signal unrelated, independent noise, the noise is ideal Gaussian white noise, the array element spacing of the incident signal wavelength of 1/2, the signal to noise ratio is 20dB, the array element number 10, the sampling frequency of 200 snapshots.)

this program use the fuzzy logic to track MPP of the PV

说明：  Matlab programs for gaussian mixture models

混凝土框架弹塑性地震响应分析,采用三次三线性退化模型(seismic response of RC structure)

说明：  这里有2组图，“1000.0.05”这一组是运行结果比较好的一组图，但是当时修改了时间间隔而没有改坐标说明，所以db1000.0.05.fig这幅图的坐标说明后来做了人工改正（应该是“time(0～250ms分成5000组,步长0.05ms”）。(Reuters, "1000.0.05" This group is running a relatively good results Reuters. But then amended the time interval and not changed coordinates Note So db1000.0.05.fig site map coordinates statement later became the artificial correction (should be "ti me (0 ~ 250ms group into 5000, 0.05 Step ").)

有关MATLAB的30个案例分析，感觉挺有用的可以看一下(There is a MATLAB neural network analysis of 30 cases, I feel more useful to look at)

在matlab环境下，实现鸢尾花数据库的SVM分类，没有使用现成的工具包。(SVM classifier in Matlab environment, iris database, do not use off-the-shelf tool kit.)

多传感器目标交叉定位算法(垂线法),内含两个、三个、四个传感器交叉定位程序。(Multisensor target cross localization algorithm (vertical method), containing two, three, four sensors cross localization process. )