4372873cell

example of the dtc of the induction motor using 2 levels inverter

功率普估计，周期图法，burg法，levenson法(power, the cycle map, burg, France levenson)

This text provides an introduction to the numerical methods that are typically encountered (and used) in science and engineering undergraduate courses. The material is developed in tandem with MATLAB which allows rapid prototyping and testing of the methods. The package MATLAB (matrix laboratory) pro- vides an environment in which students can learn to programme and explore the structure of the numerical methods. The methods included here are of a basic nature and only rely on material which should have been explored prior to the fi rst year undergraduate stage.

有关于mimo系统的多用户检测的仿真，分别对1发4收、2发4收、3发4收、4发4收的情况进行的仿真，并给出了误码率曲线图(Mimo systems on the detection of multi-user simulation, respectively, close to 1 made 4, 2 fat, 4 close, 3 fat, 4 close, 4 fat, 4 close to the situation of the simulation, and gives a bit error rate curves)

MFC 和MATLAB 混合编程代码，使用MATCOM 进行接口的实例(MFC and MATLAB mixed programming code, the use of examples of interface MATCOM)

matlab+GUI+根轨迹分析+源代码(M文件)(MATLAB)

现代数值计算方法所附光盘源码第二部分（福建师范大学）马昌凤, 林伟川编著 科学出版社(Modern numerical methods accompanying CD-ROM source the second part (Fujian Normal University) MA Chang-Feng, LIN Wei-chuan edited by Science Press)

说明：  一个比较简单易懂的颜色直方图量化及转换的程序，适用于目标跟踪等领域，希望可以帮助有需要的人。(A relatively easy to understand and change the color histogram quantization procedures for tracking and other fields, hoping to help those in need.)

Simple Evolutionary Algorithms from a Chapter of book published by Springer

利用Matlab提取图片中的数据 从事科研或者工程的人员在文档撰写过程中，常需要将文献中的曲线与自己的结果对比，为获取原始数据，一种常用的办法是手动描点，即将原始曲线放大然后打印出来，选取一定数量的点，读出其横纵坐标，然后重绘。对于较为平坦的曲线，这种方法当然可行，但当曲线数量增加，曲线变化复杂，这种方法工作量可想而知。前段时间由于原始数据丢失，仅剩几十幅图片，本人尝试过手动描点，经历几个小时奋战，实在无法继续，索性转向matlab，借助其强大的数据处理能力，编写了两个GUI的小软件image2data、data_poly提取数据，如今大功告成，遂于大家分享。(Using Matlab to extract picture data in scientific research or engineering personnel in the process of writing documentation, often need to curve in the literature comparing the results to obtain the original data, a common approach is described in the manual, is about the original amplification curve and then print it out, select a certain number of points, read out its horizontal and vertical coordinates, and then redraw. For a flatter curve, this approach is of course possible, but when the increase in the number of curves, the complexity of the curve, this method can imagine the workload. Some time ago due to the loss of original data, except for the dozens of pictures, I tried manually tracing point, after several hours of fighting, I can not continue to simply turn to Matlab, with its powerful data processing capabilities, the preparation of two GUI software image2data, data_poly extract data, and now you' re done, then share with you.)