koch_internship

给于MATLAB 环境下的非线性滤波器。此设计中用到了，混合网络建模。B样条网络和对角递归神经元网络。(In the MATLAB environment to the non-linear filter. This design used a mixed network modeling. B-spline network and on the diagonal recurrent neural network.)

technique d accès multiple CDMA (Code Division Multiple Access)avec une technique SD (Soft Decision)

说明：   冈萨雷斯数字图像处理matlab版源码DIPUM Toolbax V1.1.3(Gonzalez source digital image processing matlab version DIPUM Toolbax V1.1.3)

这是一篇大连理工大学的硕士学位论文，题为基于模糊逻辑的多级倒立摆控制系统研究，是在李洪兴教授的指导下完成的。该论文的亮点在于详细的介绍变论域自适应模糊控制思想，并以二级倒立摆为实验对象给出了相应的方针结果。(This is a master' s degree thesis, Dalian University of Technology, entitled Multi-level Fuzzy Logic Inverted Pendulum Control System, is under the guidance of Professor Li Hongxing completed. The paper highlights the detailed description of variable universe adaptive fuzzy control ideas, and to double inverted pendulum as experimental results of the corresponding policy.)

粒子群算法 吐血推荐。欢迎大家一块交流。MATLAB程序实现的。(Particle Swarm recommended blood. Welcome to an exchange. MATLAB perfectly.)

providing YBus for load flow

This tutorial is designed to give the reader an understanding of Principal Components Analysis (PCA). PCA is a useful statistical technique that has found application in fields such as face recognition and image compression, and is a common technique for finding patterns in data of high dimension. Before getting to a description of PCA, this tutorial first introduces mathematical concepts that will be used in PCA. It covers standard deviation, covariance, eigenvectors and eigenvalues. This background knowledge is meant to make the PCA section very straightforward, but can be skipped if the concepts are already familiar.

Question 1.4 Sullivan

The ULIB is a collection of efficient building blocks for developing high-performance and scalable systems in C and C++. These building blocks mainly cover, multithreading, parallel computing, efficient data indexing, numerical approximation, and cryptography.

说明：  matlab标准hough变换圆检测代码，已经经过测试，可用于图像识别(Matlab standard Hough transform circle detection code has been tested, can be used for image recognition)