MP

应用matlab仿真扩频信号的捕获过程，程序具有实用性(Application capture process simulation matlab spread spectrum signal, the program is practical)

最优化方法及其Matlab程序设计2009马昌凤(Optimization method and Matlab programming 2009 Convergent Descend)

PLL_System_Sim_for_matlab————(PLL_System_Sim_for_matlab----)

带有mppt光伏阵列的系统仿真，附件中包含参考的文档(With MPPT PV array system simulation, the reference contained in the annex to document)

人工蚁群算法，提供了一种高效的编程步骤。(Artificial ant colony algorithm, provides an efficient programming steps.)

全变差图像处理Matlab程序，for the paper: "Algorithms and Software for Total Variation Image Reconstruction via First-Order Methods, Numerical Algorithms"(Software for Total Variation Image Reconstruction (for Matlab Version 7.5 or later) "mxTV" is a software package for image reconstruction based on the Total Variation model, and including denoising, inpainting, and deblurring. The work was carried out as part of the project CSI: Computational Science in Imaging, funded by the Danish Research Council for Technology and Production Sciences, and headed by Prof. Per Christian Hansen, DTU Informatics. The collaborators are DTU Informatics, Dept. of Electronic Systems at Aalborg University, and MOSEK ApS. The underlying algorithms are based on recently published first-order methods developed by Nesterov, tailored specifically to the image restoration problems. These methods have O(1/ε) complexity, where ε is the accuracy of the solution. The core computational routines are written in C, with a mex interface to Matlab. The algorithms and the software are described in the paper: J. Dahl, P. C. Hansen, S. H. Jensen, and T. L. Jensen, Alg)

这是雷达动目标检测的matlab实现方法，使用了FFT和FIR两种方法(This is a moving target radar detection matlab implementation methods, the use of FFT and FIR in two ways)

此程序提取Gabor小波特征，然后由SVM进行分类的Matlab源代码(The Gabor wavelet feature extraction process, then classified by the SVM in Matlab source code)

《MATLAB神经网络30个案例分析》中的第19个例子，案例19 概率神经网络的分类预测-基于PNN变压器故障诊断。希望对大家有一定的帮助！(The MATLAB neural network analysis of 30 cases of 19 example, 19 cases of probabilistic neural network classification prediction based on PNN transformer fault diagnosis. Hope to have certain help to everybody! )

newton raphson using upfc