EM-algorithm

C#调用matlab函数的方法(The function that c# invokes matlab )

阵列分析与综合入门代码，含比较好的绘图模块(Array analysis with the entry code, with better graphics module)

全书包含390 多个计算范例。所有算例的程序是可靠、完整的。读者可以在自己的MATLAB 环境中完全准确地重现本书所提供的算例结果。算例的举一反三，将使读者很快掌握要领，从模仿走向灵活应用。本书既可作为理工科院校研究生、本科生系统学习的教材，又可以作为广大科技工作者掌握和精通MATLAB 的自学用书和使用手册。(The book contains over 390 computing paradigm. All examples of the program is reliable and complete. Readers can own the MATLAB environment Completely and accurately reproduce the book provided by the numerical results. Examples of replicability, the reader will quickly grasp the essentials, from imitation to Flexible application. This book can be used as engineering colleges graduate, undergraduate system of learning materials, but also can work as a scientific and technological Who self-mastery and mastery of MATLAB with the book and manual.)

说明：  小波分析 图像融合 决策树分类 matlab 源代码 (fusion image, classify)

matlab图像处理实例详解chap5——图像增强技术(matlab image processing example explanation chap5- image enhancement technology)

三个遗传算法matlab程序实例，比较实用，希望大家用得到(Three genetic algorithm matlab examples, practical, hope everyone to use )

ofdm modulation in matlab

小波变换进行变速箱故障诊断 首先将s1和s2信号时域谱（s1代表维修前的振动信号，s2代表维修后的振动信号），画出来进行对比，会发现s1信号的振动幅值会比较高；然后对s1和s2分别进行小波分解并画出各层的时域谱，只对比s1和s2分后的最高时域谱，s2更加的具有周期性，且幅值较小，s2周期性不够明显，且振动过于密集。分析完时域谱后开始分析频谱，首先对原信号s1和s2fft转换，得到频谱图，如图，然后再对小波分析后高频部分进行fft转换，做出频谱图。对比后我们发现，在f 2375HZ出（也就是齿轮的啮合频率），s1信号频谱幅值会有急剧的升高，然后，其谐波的幅值也会增大。所以可以推断出该维修前的增速箱的齿轮可能出现问题。(Gearbox fault diagnosis based on wavelet transform s1 and s2 first time domain signal spectrum (s1 behalf of the vibration signal before maintenance, vibration signal s2 representative of repaired), drawn comparison, you will find a signal s1 vibration amplitude will be higher then s1 and s2 respectively wavelet decomposition and draw the layers of time-domain spectrum to only a maximum time domain spectroscopy s1 and s2 points after, s2 is more cyclical and smaller magnitude, s2 cyclical enough obviously, and the vibration is too dense. End domain spectral analysis after the beginning of the spectrum analysis, the first of the original signal s1 and s2fft conversion to give the spectrum, as shown, and then after the high frequency part of wavelet analysis fft transformation to make spectrum. We found that after the comparison, at f 2375HZ out (i.e. the gear mesh frequency), there will be a sharp increase in the amplitude spectrum of the signal s1, and then, the amplitude of the ha)

隐半马尔可夫模型，只要替换原有的参数就能计算。可以用于模式识别，剩余寿命预测等(Half hidden markov model, as long as replacing the original parameters can be calculated. Can be used in pattern recognition, the residual life prediction, etc)

MATLAB 读安捷伦示波器并FFT分析(MATLAB mso7054b)