发送滤波器

说明：  这是一个图像配准的MATLAB代码，有很好的GUI界面，以像素级进行配准。(The image matching MATLAB code is based on pixel with a good GHI.)

LDPC非规则二进制校验矩阵生成函数，可生成任意规格的校验矩阵(Irregular LDPC binary check matrix generating function, can generate arbitrary specifications checksum matrix)

k nearest neigbours classifier

用动态图显示极化电磁波的状态。将电磁波的极化表示从琼斯矢量，变换为斯托克斯矢量。适用于学习极化雷达的初学者入门。(Aprogram to show polarimetric wave using stactic or dynamic figures.A program to change the polarimetry representation Jones vector to Stokes vector. For the beginer who learn polarimetric radar.)

核心数据处理 核心数据处理 核心数据处理 核心数据处理 核心数据处理 核心数据处理 核心数据处理(Core data-processing core data processing core data-processing core data processing core data-processing core data processing core data-processing)

7.5 积分一步的变步长龙格-库塔法grkt2.c 7.6 积分一步的变步长基尔法ggil1.c 7.7 全区间积分的变步长基尔法ggil2.c 7.8 全区间积分的变步长默森法gmrsn.c 7.9 积分一步的连分式法gpbs1.c 7.10 全区间积分的连分式法gpbs2.c(7.5 Integral-step variable step-queue grid- Kutta method grkt2.c 7.6 Integral variable step by step Kiel France ggil1.c 7.7 points between the region variable step-size Kiel France ggil2.c 7.8 points between the region variable step-size Merson method gmrsn.c 7.9 integral step in continued fractions method gpbs1.c 7.10 points between the region' s continued fractions method gpbs2.c)

Here the matlab code source for noisy speech signal and their noise tracker based minimum mean square error . it s good for learning

准循环LDPC码在深空通信和高码率数传通信中应用(Quasi-Cyclic Low-Density Parity-Check (QC-LDPC) codes for deep space and high data rate applications)

BP神经网络容易陷于局部极小值，PSO算法在无约束非线性函数优化方面性能优越，通常可以直接找寻到全局最优解，即使不能搜多到全局最优解，也距离全局最优点不远。当然，基本PSO算法陷入局部极值也是有的。对于这个缺点目前还没有找到比较有效、省市的解决方案。本案例实现利用PSO算法和BP算法共同训练神经网络，先将网络进行PSO算法训练，然后BP算法接着进行小范围精细搜索，PSO算法训练神经网络的本质就是将输出误差函数（即能量函数）看成目标函数，PSO对能量函数进行全局寻找最小值。(BP neural networks are prone to local minimum values. The PS algorithm has superior performance in the optimization of unconstrained nonlinear functions. It can usually find the global optimal solution directly. Even if it can not find more global optimal solutions, it is not far from the global best. Of course, there is also a local extreme of the basic PO algorithm. For this shortcoming, there is no more effective, provincial and municipal solution. This case realizes the use of the SO algorithm and the BP algorithm to train the neural network. First, the network is trained in the SO algorithm, and then the BP algorithm is followed by a small range of fine searches. The essence of the PO algorithm training neural network is to regard the output error function(ie, the energy function) as the objective function, and the PO seeks a global minimum value for the energy function.)

说明：  该程序的优点在于障碍可以自己设置，也可以读图。(The advantage of this program is that obstacles can be set by themselves or read pictures.)