DPSD

matlab 基于齿轮的时频分析 对方开始减肥圣诞节疯狂圣诞节疯狂时代就发生的开发建设的(matlab gear based on the time-frequency analysis of the other side began to lose weight Christmas Crazy Christmas crazy era occurred in the development and construction of the)

刘金琨老师作品，机器人控制系统和MATLAB仿真。(Teacher Liu Jinkun works, robot control systems and MATLAB simulation.)

高等光学仿真中的程序代码，介绍了光纤的本征模以及激光原理，并以Matlab为基础仿真。(Advanced optical simulation program code, introduced the optical fiber the eigenvalue of the mode and laser principle, and based on Matlab simulation.)

聚类算法，不是分类算法。分类算法是给一个数据，然后判断这个数据属于已分好的类中的具体哪一类。聚类算法是给一大堆原始数据，然后通过算法将其中具有相似特征的数据聚为一类。这里的k-means聚类，是事先给出原始数据所含的类数，然后将含有相似特征的数据聚为一个类中。所有资料中还是Andrew Ng介绍的明白。首先给出原始数据{x1,x2,...,xn}，这些数据没有被标记的。初始化k个随机数据u1,u2,...,uk。这些xn和uk都是向量。根据下面两个公式迭代就能求出最终所有的u,这些u就是最终所有类的中心位置。(Clustering algorithm, not a classification algorithm. Classification algorithm is to give a figure, and then determine the data belonging to a specific class of good which category. Clustering algorithm is to give a lot of raw data, and then through the algorithm which has similar characteristics data together as a class. Here k-means clustering, is given in advance the number of classes contained in the raw data, then the data contain similar characteristics together as a class. All information presented in or Andrew Ng understand. Firstly, raw data {x1, x2, ..., xn}, the data is not labeled. K random initialization data u1, u2, ..., uk. These are the vectors xn and uk. According to the following two formulas can be obtained final iteration all u, u is the ultimate all these classes the center position.)

数学建模的题目解析，胡乱拿来给大家分享，希望能对大家有帮助(The subject of mathematical modeling analysis, to be used indiscriminately to share, I hope you can help)

利用小波分解与重构,实现图像去噪和压缩,可灵活选用其他小波,简单易懂,特别适合小波初学者.(using wavelet decomposition and reconstruction, Image Denoising and Compression, the flexibility to choose other wavelet is simple to understand and Wavelet particularly suitable for beginners.)

本代码通过对基因库中人类和家牛基因编码部分的对比和统计,分析了不同属生物间的基因遗传的异同和特性(This part of the code by comparing the gene encoding the human and cattle library chain genes were compared and statistics, and then to analyze the similarities and differences between different genera of biological and genetic characteristics of genetic)

实现了图像的加水印，去噪，加噪声等功能，BP神经网络用于函数拟合与模式识别，LDPC码的完整的编译码。( Realize image watermarking, de-noising, plus noise and other functions, BP neural network function fitting and pattern recognition, Complete codec LDPC code.)

this is simulink model of boost converter basic principal of operation

图像的DCT变换域的隐写matlab程序代码(DCT transform domain image steganography matlab code)