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说明：  计算快速傅里叶变换的蝶形算法，用matlab实现的(FFT butterfly calculation algorithm implemented with matlab)

这是一个实现Levenberg-Marquardt算法的MATlAB代码，总共4个文件f.m产生目标评价函数，l_m_trust.m是进行L_M算法迭代处理，trtestlm.m是采用置信域方法决定更新参数和置信系数，而测试函数入口时test_lm.m，每个函数里面有详细的中文注释，希望能给你的工作带来帮助！(This is an implementation of Levenberg-Marquardt algorithm MATlAB code, generated a total of four documents fm objective evaluation function, l_m_trust.m is iterative processing algorithm for L_M, trtestlm.m Confidence region method is used decided to update the parameters and confidence coefficient and the test function entrance test_lm.m)

buck-boost converter simulation matlab file

Objective of this example is to demonstrate how to design and model adaptive controller, tune and analyse its performance using Simulink® . For this example we have used direct adaptive method called Model Reference Adaptive Controller (MRAC). There are three main elements of this model: Reference Model, Plant Model and Adaptive Controller. Each element and its working is explained in "Adaptive Controller Example.pdf", part of attached folder.

通过PM函数产生而为PM随机海面，产生模拟海面，进而进行计算模拟(Generated through the PM function for PM random surface, resulting in simulated sea surface, and then calculated simulation)

DCT compressed mpeg using matlab code

包括图像分析的四部分代码：matlab扩散和高斯函数，线性扩散，线性复扩散，非线性扩散。(It contains four parts： [1]MATLAB function:diffusion.m gauss.m [2]Linear diffusion Applying linear diffusion to images creating linear scale-space. MATLAB code: demo_lin.m Image: haifa1.bmp [3]Linear complex diffusion Applying linear complex diffusion creating Gaussian and Laplacian scale-spaces. MATLAB code: demo_cmplin.m [4]Nonlinear diffusions: Perona-Malik ["Anisotropic diffusion"] Catte et al. regularization of P-M Complex ramp-preserving diffusion Nonlinear edge preserving diffusions.The classical Perona-Malik process: the value of the diffusion coefficient is reduced near edges estimated by the first derivative. Best applied to step edges. A regularized version by Catte et al- the gradient estimation for controlling the process is smoothed by a Gaussian. Proved to be mathematically well-posed. Ramp preserving complex diffusion- best for ramp-type edges. Results are smoother with almost no staircasing effects. MATLAB code: demo_nldif.m Image: ct_scan.bmp)

MatLab图像传感器网络仿真平台WiSNAP，非常好用和清晰(MatLab image sensor network simulation platform WiSNAP very useful and clear)

说明：  Maple使用教程：maple是解数学物理方程的软件类似于matlab，该教程让初学者轻松的学会用该软件求解复杂的数理方程(Maple tutorial)

遗传算法交叉操作的改进——系统工程与电子技术.pdf(genetic algorithms to improve the operation of cross--- Engineering and electronic technology. Pdf)