RBF_k.m

hi i have a huge collection are you interested

说明：  利用matlab进行随机信号处理，从宽带信号中分离出单频信号，有一定得参考价值(ADSP signal processing！)

模拟机器人在迷宫寻找出口的程序，使用蒙特卡洛算法定位，模拟测试找路程序(Simulated robot in a maze looking for export, the use of Monte Carlo algorithm to locate, find a way to simulate the test program)

包括广义互相关函数GCC时延估计，包含光伏电池模块、MPPT模块、BOOST模块、逆变模块，进行波形数据分析,使用拉亚普诺夫指数的公式，应用小区域方差对比，程序简单。( Including the generalized cross-correlation function GCC time delay estimation, PV modules contain, MPPT module, BOOST module, inverter module, Waveform data analysis, Raya Punuo Fu index using the formula, Application of small area variance comparison, simple procedures.)

Channel equalization using NLMS

signals and systems with matlab complete references with applications

利用MFC技术，借助MATLAB强大的数学计算能力。同时，MATLAB脚本方便修改，不需要重新运行程序。(Using MFC technology, using MATLAB a powerful mathematical calculation. At the same time, MATLAB scripts to facilitate changes, do not need to re-run the program.)

通过excel将输入读入matlab中，计算文件第四列元素的最大值，最小值和均方根值，对应z波面拟合中的PV RMS的计算。上传文件中包括excel文件(Input read by excel in matlab to calculate the column IV of document elements of the maximum, minimum and RMS values, corresponding to zernike Wavefront fitting of PV RMS calculation)

共轭梯度法（Conjugate Gradient）是介于最速下降法与牛顿法之间的一个方法，它仅需利用一阶导数信息，但克服了最速下降法收敛慢的缺点，又避免了牛顿法需要存储和计算Hesse矩阵并求逆的缺点，共轭梯度法不仅是解决大型线性方程组最有用的方法之一，也是解大型非线性最优化最有效的算法之一。 在各种优化算法中，共轭梯度法是非常重要的一种。其优点是所需存储量小，具有步收敛性，稳定性高，而且不需要任何外来参数(Conjugate Gradient method (Conjugate Gradient) is between the steepest descent method between Newton method and a method, it only USES a derivative information, but overcome the steepest descent method slow convergence of weakness, but also avoid the Newton law needs to storage and computing Hesse inverse matrix and shortcomings, Conjugate Gradient method is not only solve linear equations with most of the large method, and also one of the most effective solution large nonlinear optimization of one of the algorithm. In all kinds of optimization algorithm, the conjugate gradient method is very important. Its advantage is the storage capacity needed, it has small step convergence, high stability, and doesn t require any exotic parameters numerical experiment, this is the modern scientific computing of the answer above problem sets)

fdtd算法一维自由空间没有吸收边界的源代码(1D FDTD simulation in free space Without Absorbing Boundary Condition)