MatLab---MathematicEngineering

关于无背景噪声条件下，PPM的信道容量的一些相关计算(On no background noise conditions, PPM of the channel capacity of some relevant calculation)

内容完整且每章相对独立；是一本简明的MATLAB参考书，既适用于初学者，也适用于高级MATLAB用户。对MATLAB与FORTRAN、C等语言结合的描述更是所有MATLAB书籍中少有的一大特色。(The contents of each chapter is relatively complete and independent it is a simple MATLAB reference books, both for beginners, but also to high-level MATLAB users. Of MATLAB and FORTRAN, C and other languages with a description of all MATLAB books is a major feature of the few.)

模式识别问题最近邻算法的matlab实现，可以模拟实现最近邻法的核心，是一个不错的代码( Nearest neighbor algorithm for pattern recognition problem of matlab to achieve, can simulate the nearest neighbor method to achieve the core of the code is a good)

说明：  珍藏版，可实现，新K均值聚类算法，分为如下几个步骤： 一、初始化聚类中心 1、根据具体问题，凭经验从样本集中选出C个比较合适的样本作为初始聚类中心。 2、用前C个样本作为初始聚类中心。 3、将全部样本随机地分成C类，计算每类的样本均值，将样本均值作为初始聚类中心。 二、初始聚类 1、按就近原则将样本归入各聚类中心所代表的类中。 2、取一样本，将其归入与其最近的聚类中心的那一类中，重新计算样本均值，更新聚类中心。然后取下一样本，重复操作，直至所有样本归入相应类中。 三、判断聚类是否合理 采用误差平方和准则函数判断聚类是否合理，不合理则修改分类。循环进行判断、修改直至达到算法终止条件。(NewK-means clustering algorithm ，Divided into the following several steps: A, initialize clustering center 1, according to the specific problems, from samples with experience selected C a more appropriate focus the sample as the initial clustering center. 2, with former C a sample as the initial clustering center. 3, will all samples randomly divided into C, calculate the sample mean, each the sample mean as the initial clustering center. Second, initial clustering 1, according to the sample into the nearest principle clustering center represents the class. 2, as this, take the its recent as clustering center of that category, recount the sample mean, update clustering center. And then taking off, as this, repeated operation until all samples into the corresponding class. Three, judge clustering is reasonable Adopt error squares principles function cluster analysis.after clustering whether reasonable, no reasonable criterion revisio)

很好的ofdm文档，每一段代码都有很详细的说明哦 ！(good ofdm documents, each section of code is very detailed description!)

研究生时的现代信号处理的作业，直线阵采用切比学夫加权控制主旁瓣比，数据模型归一化，模态振动，基于kaiser窗的双谱线插值FFT谐波分析，通过matlab代码，自己编的5种调制信号，一种噪声辅助数据分析方法。( Modern signal processing jobs when the graduate, Linear array using cut than learning laid upon the right control of the main sidelobe ratio, Normalized data model, modal vibration, Dual-line interpolation FFT harmonic analysis kaiser windows, By matlab code, Own five modulation signal, A noise auxiliary data analysis method.)

压缩空气驱动发动机的稳态运转模型，通过添加示波器可以再运行后观察发动机多种状态参数曲线。(Compressed air-driven model of the steady-state operation of the engine, is observed by adding oscilloscope can then run the engine multiple states parametric curves.)

本书详细介绍了如何利用matlab进行算法运行时间的分析和比较，并附很多例子，简单易懂。(This E-book covers mainly about how to use matlab to analyse the algorithm running time, and easy to understand)

说明：  噪声的加入小实验。用以实现 加入噪声的功能，从而发现，加入噪声的方法与表现。(MATLAB realase an input noise,and to make the photo become a nomal looking photo.)

求一幅模拟干涉条纹图的不同区域的条纹密度，并且用0-255表示，清晰，并且较为准确(Find a simulated fringe fringe pattern density in different regions, and said with 0-255, clear and more accurate)