matlab

MATLAB神经网络应用设计-张德丰-源码(MATLAB neural network application design- Zhang Defeng- source)

求连续函数的卷积，利用matlab中的conv函数实现(Seek a continuous function of the convolution, using the conv function in Matlab to achieve)

模型算法控制作用于单变量系统仿真程序及说明(Model Algorithmic Control acting on the single-variable system)

matlab冈萨雷斯答案： 里面是最全的答案，所有习题都有(Gonzalez matlab answer: it is the whole answer, all exercises are)

给出了用MATLAB实现FFT算法，压缩包内还有源程序(Given by MATLAB realize FFT algorithm, compressed source code package also)

matlab实现基本的通信仿真技术fade(To achieve basic communications simulation technology bpsk using matlab)

matlab查找单词系统 输入单词之后 会自动从库中查找单词(the systern of seraching words by matlab)

系统辨识及其MATLAB仿真,白噪声产生程序(System Identification and MATLAB simulation, white noise generator)

matlB环境，介绍多个生成随机数的例子，包含附件。(matlB environment, describes examples of generating random numbers.)

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.)