matlab

Here is some simple Matlab image warping code that I wrote a while ago that others continue to find useful. The code requires that you have Matlab and the Image Processing Toolkit installed

说明：  关于荣格库塔方法的实现，详细的介绍了荣格库塔方法，还有完整的的报告(Rong-Kutta methods on the implementation of the detailed description of the wing-Kutta methods, as well as the full report)

Therefore, the Z-source inverter can buck and boost voltage to a desired output voltage that is greater than the available dc bus voltage

先归一化输入输出参数，用KMens优化RBF神经网络中心值，然后计算隐节点数据中心间的距离（矩阵），得到各隐节点的扩展常数（宽度），接着用最小二乘法得到各隐节点的输出权值，对数据进行反归一化，并绘图得到神经网络输出与测试集图，同时进行性能评价(First, the input and output parameters are normalized, the central value of the RBF neural network is optimized by KMens, then the distance (matrix) between the data centers of the hidden nodes is calculated, and the extended constant (width) of the hidden nodes is obtained. Then the output weights of the hidden nodes are obtained by the least square method, and the data are back normalized, and the neural network is drawn. Output and test set diagrams, and performance evaluation)

单相逆变器的比例系数（电感与电阻元件）的分岔图仿真M文件(M bifurcation diagram simulation file)

Introduction Matlab is an ideal tool for simulating digital communications systems, thanks to its easy scripting language and excellent data visualization capabilities. One of the most frequent simulation tasks in the field of digital communications is bit-error- rate testing of modems. The bit-error-rate performance of a receiver is a figure of merit that allows different designs to be compared in a fair manner. Performing bit-error-rate testing withMatlab is very simple, but does require some prerequisite knowledge.

enhanced mapping algorith for loclaization and mapping problem

SEP协议的源代码，真实有效可靠，可以直接用于MATLAB软件仿真模拟。(The SEP protocol source code, real effective and reliable, and can be used directly in MATLAB software simulation.)

这是数字信号处理的好资料，详细地介绍如何用MATLAB进行信号分析与处理，想学习的可以下载看看。(This is good information on digital signal processing, detailed information on how to use MATLAB for signal analysis and processing, want to study can be downloaded to see.)

In a number of vibration applications, systems under study are slightly non-linear. Cascade of Hammerstein models conveniently allows one to describe such systems. The Hammerstein Toolbox provides a simple method based on a phase property of exponential sine sweeps to estimate the structural elements (Kernels) of such a model from only one measured response of the system.