gudaodianyafankui3

目前主流的lms算法实现，采用随机数最为种子。(The current mainstream lms algorithm, using the most random number seed.)

it is just modified EZw

数学建模中的各种经典算法，其中涵盖许多经典模型的建立和源代码。(Mathematical modeling in a variety of classical algorithms, which covers many classic models to build and source code.)

一个100*100的正方形，用半径为10的圆覆盖，随机在100*100的平面内放置圆心，问至少需要多少个圆，才能使得成功覆盖整个区域的概率在95 以上？并给出一个均匀随机放置装置的分布图。(A 100* 100 square, a circle with a radius of 10 covers, 100* 100 randomly placed on the center plane, and asked how many circles at least, to cover the entire area so the probability of success of 95 or more? And gives a uniform distribution of randomly placed devices.)

数学建模中线性规划建模算法中的一些matlab程序(Mathematical modeling of linear programming modeling algorithm of some matlab program)

基于神经网络的人类polya位点识别。。。。。(neural network)

模拟整个扩频系统，为学习和设计有关扩频系统提供帮助，里面有信号的发生和接受端信号的捕获，文件夹里面的m文件可直接在matlab上实现(Simulate the spread spectrum system for the study and design of spread spectrum systems to help, there are signal generation and signal capture the receiving end, inside the folder in the matlab m files can be directly implemented on)

三相异步电机转差频率矢量控制模型，通过spw正弦脉冲调制控制逆变器(Three-phase induction motor slip frequency vector control model through the the spw sinusoidal pulse modulation inverter control)

此为基于二代提升小波的阈值压缩算法源码，其中可以设置小波变换的分解层数，使用的小波名称，及各层阈值设置计算公式中的参数。并将低频系数转化为十六进制，方便在其上进一步压缩，如采用Huffman压缩等，程序思路清楚，附有完整的注释，可以使用多种小波，并且很好得体现了二代小波的思想，对于初学小波者帮助很大。(。-based on the second generation of this upgrade wavelet compression algorithm threshold source, which can set wavelet transform decomposition level, the use of wavelet name, threshold levels and set the formula for calculating the parameters. And low-frequency coefficients into hexadecimal facilitate its further compression, such as the Huffman compression. procedures ideas clearly, with the integrity of the Notes, you can use a variety of wavelet, and reflected very well in the second generation wavelet thinking, For beginners who wavelet of great help. )

在使用MATLAB完成小波变换程序和通过阈值来压缩图像的过程中，我和许多同学都是边学边用，是从一个接一个的问题中逐步理解小波和MATLAB编写程序的。因此我愿意就个人遇到和解决问题的经验与大家讨论，希望能够对遇到同样问题的人有所帮助。(using MATLAB completed wavelet transform procedures and through the threshold to compress images of the process, I and many of my classmates are used to learn while, is a problem then a gradual understanding of wavelet and MATLAB preparation procedures. Therefore I am willing to personally encounter and the experience to solve the problem with us, it is hoped to have the same problem of some help.)