SOM-to-recognize-Characters

基于matlab的椭圆型低通滤波器设计程序(Based on matlab elliptic low-pass filter design)

LDA方法是一种对数据进行线性分解的降维方法(LDA method is a kind of linear decomposition of data dimension reduction method)

二维FDTD仿真高斯脉冲的传播，设定了PMC边界条件，并且可以自动生成Ez、Hx和Hy的.avi文件播放。(Propagation of two-dimensional FDTD simulation Gaussian pulse, set the PMC boundary conditions, and can automatically generate Ez, Hx and Hy .avi files playback.)

This routine draws a square with center defined as X_CENTER,Y_CENTER and lattice LATTICE.

启动摄像头、并将摄像头拍摄下来的视频保存下来。matlab代码(Start the camera, and save the video)

迭代最近点算法的完整Matlab程序，输入两个点集，输出旋转矩阵、平移向量和整体误差，验证可用。(Complete iterative closest point algorithm Matlab program, enter the two point sets, the output rotation matrix and translation vector and the overall error, verify availability.)

基于matlab的彩色图像分割，方法是K-means聚类分割(Matlab-based color image segmentation method is K-means clustering segmentation)

IT IS THE CODE FOR LEACH PROTOCOL. LEACH IS THE ENERGYY EFFICIENT ROUTING PROTOCOL WHICH IS MOST WIDELY USED IS SMALL AREA NETWORKS

下行信道加扰源码,matlab编写,方便对通信模型的仿真和学习(Downstream channel scrambling codes, matlab prepared to facilitate the simulation model for communication and learning)

The model used for creating the reference voltage is shown in Fig. 4. First, photovoltaic output current (Ipv) and output voltage (Vpv) are passed through a first order low pass filter with a magnitude of G = 1 and a time constant of T = 0.01 seconds in order to filter out the high frequency components or harmonics from these signals as shown in Fig. 5 and Fig. 6. The filtered current and voltage signals (Ipv_F and Vpv_F) are then fed into the MPPT control block that uses the Incremental Conductance Tracking Algorithm. An algorithm that is based on the fact the slope of the PV array power curve shown in Fig. 7 is zero at the Maximum Power Point (MPP), positive on the left of the MPP, and negative on the right. The MPP can thus be tracked by comparing the instantaneous conductance (I/V) to the incremental conductance (∆ I/∆ V) [11] as in (1):