Doolittle

为了匹配信道特性达到较佳的传输效果，应选用适当码型，以便在最小传输带宽的条件下大大减小或消除这种干扰。选用了MATLAB软件进行了仿真，设计实现了一些简单的常用码型(In order to match the channel transmission characteristics to achieve better results, should use the appropriate code type, so that under the conditions of minimum transmission bandwidth substantially reduce or eliminate such interference. Use of the MATLAB simulation software, designed and implemented some simple common pattern)

说明：  MATLAB常用的函数说明，对于初学者很有用(MATLAB)

辐射阻尼matlab模拟，科学研究很有用处。(Radiation damping in magnetic resonance experiments)

基于波前重构算法的sar雷达点目标成像实现，使用matlab实现(Wave-front reconstruction algorithm to achieve sar radar point target imaging)

Pure Sine Wave Inverter Driver Board EGS002 _ EVE-eVision Electronics Pakistan _ Atmel Controllers in Pakistan

建立了单相H桥逆变器单极性PWM调制仿真模型，运行效果良好(A unipolar PWM modulation simulation model of single-phase H bridge inverter is established, and the running effect is good)

遗传算法，基于matlab软件，优化天线方向图振幅(genetic algorithm, based on the software of matlab, and it can optimize the amplitude of antenna pattern)

说明：  本文介绍了MATLAB 语言的特点以及图像处理工具箱实现的经典图像处理 技术。应用该工具箱对一实拍的芯片图像进行前期预处理，通过实例验证了该语言具有强大的矩 阵运算与图形处理能力，是一种简洁易学，可读性强、功能强大的应用软件，对它的应用可以快 速实现模拟仿真，大大提高实验效率。(This article describes the characteristics of the MATLAB language and image processing toolbox to achieve the classic image processing techniques. Application of the toolbox of a chip shot is pre-image pre-processing, an example of the language has a powerful matrix calculation and graphics processing capability, is a simple and easy to learn, readable, and powerful software applications, on the its application can quickly achieve the simulation, significantly improve the efficiency of the experiment.)

说明：  matlab中微分方程的解法，及其应该注意的问题(matlab in the solution of differential equations, and should pay attention to the issue of)

　Kmeans 算法是聚类分析中使用最为广泛的算法之一，其每个类别均用该类中所有数据的平均值(或加权平均)来表示，这个平均值即被称作聚类中心。该方法虽然不能用于 类别属性的数据，但对于数值属性的数据，它能很好地体现聚类在几何和统计学上的意义。(Kmeans algorithm is the most widely used cluster analysis algorithm, each category with the average of all data in the class (or weighted average) to represent the average is known as the cluster center. Although this method can not be used The class attribute of the data, but data for numeric attributes, it can well reflect the significance of clustering on the geometry and statistics.)