adapt

图像水平变换：分别实现对图像的水平外凹和水平外凸。(Image level of transformation: the implementation level of the image and level .)

接地技术最早是应用在强电系统（电力系统、输变电设备、电气设备）中，为了设备和人身的安全，将接地线直接接在大地上。由于大地的电容非常大，一般情况下可以将大地的电位视为零电位。后来，接地技术延伸应用到弱电系统中。对于电力电子设备将接地线直接接在大地上或者接在一个作为参考电位的导体上，当电流通过该参考电位时，不应产生电压降。然而由于不合理的接地，反而会引入了电磁干扰，比如共地线干扰、地环路干扰等，从而导致电力电子设备工作不正常。可见，接地技术是电力电子设备电磁兼容技术的重要内容之一，有必要对接地技术进行详细探讨。(Grounding technology was first applied in strong electric system (power system, power transmission equipment, electrical equipment), in order to equipment and personal safety, the ground wire directly connected to the earth. Because the earth capacitance is very large, under normal circumstances can be considered to be zero potential earth potential. Later, grounding techniques applied to extend the weak system. For power electronic devices directly connected to the ground wire on the ground or connected to a reference potential as a conductor, when the current through the reference potential, and should not generate voltage drop. However, due to unreasonable ground, but will the introduction of electromagnetic interference, such as co-ground interference, ground loop interference, resulting in power electronic equipment is not working properly. Visible, grounding technology is an important part of power electronic equipment EMC technology, it is necessary for grounding techniques disc)

BFILTER2 Two dimensional bilateral filtering. This function implements 2-D bilateral filtering using the method outlined in: C. Tomasi and R. Manduchi. Bilateral Filtering for Gray and Color Images. In Proceedings of the IEEE International Conference on Computer Vision, 1998.

lms for the simulation, this technique is used in egalization

霍夫曼编解码程序，仿真了huffman编码和解码(huffman encode decode)

In the computer science field of artificial intelligence, a genetic algorithm (GA) is a search heuristic that mimics the process of natural evolution. This heuristic (also sometimes called a metaheuristic) is routinely used to generate useful solutions to optimization and search problems.[1] Genetic algorithms belong to the larger class of evolutionary algorithms (EA), which generate solutions to optimization problems using techniques inspired by natural evolution, such as inheritance, mutation, selection, and crossover. Genetic algorithms find application in bioinformatics, phylogenetics, computational science, engineering, economics, chemistry, manufacturing, mathematics, physics, pharmacometrics and other fields.

严恭敏：基于matlab的捷联惯导算法设计与仿真(SINS algorithm design and simulation)

MATLAB用于非线性方程组的求解问题，用的方法是牛顿迭代法(the solution of nonlinear functions)

puma robot sim using matlab gui

说明：  用matlab计算泰勒展开式taylorseries、函数求导differentiate、求极限limitx、求解非线性规划nolinearsolve&ff5(Using MATLAB to calculate Taylor series, differential function differentiation, limit x, nonlinear programming nolinearsolve & FF5)