ex7Data

现代通信系统使用MATLAB第二版（中英文pdf及所有程序m文件）(Contemporary Communication Systems Using Matlab By:JohnG.Proakis )

蒋庆堂先生大作。测试小波光滑性（Soblev指数)(Mr. Jiang Qingtang masterpiece. Test wavelet smoothness (Soblev index))

说明：  自相关法求取时间序列延时的函数，包括Simulink产生时间序列的文件，两个主函数，以及运行程序(Since the correlation function to obtain time series of delay, including time series generated Simulink file, the two main functions, and operational procedures)

DC MOTOR SIMULATION USING SIMULINK

fit_ML_normal - Maximum Likelihood fit of the log-normal distribution of i.i.d. samples!. Given the samples of a log-normal distribution, the PDF parameter is found fits data to the probability of the form: p(x) = sqrt(1/(2*pi))/(s*x)*exp(- (log(x-m)^2)/(2*s^2)) with parameters: m,s format: result = fit_ML_log_normal( x,hAx ) input: x - vector, samples with log-normal distribution to be parameterized hAx - handle of an axis, on which the fitted distribution is plotted if h is given empty, a figure is created. output: result - structure with the fields m,s - fitted parameters CRB_m,CRB_s - Cram?r-Rao Bound for the estimator value RMS - RMS error of the estimation type - ML

关于最优化方法的Matlab仿真程序，线搜索技术。(Matlab simulation program optimization method, line search technique.)

a som application, for those who are new in neural network and matlab!

利用matlab研究使用维纳滤波器对语音信号去噪的例程(Using matlab studies using Wiener filter speech signals denoising routines)

根据洗衣机振动实验结果，用MATLAB软件进行时域、频率幅值和功率谱分析(According washing machine vibration test results, using MATLAB software for time domain, frequency, amplitude and power spectral analysis)

说明：  本书作者从实践出发，结合大量数据挖掘工程案例及教学经验，以真实案例为主线，深入浅出地介绍数据挖掘建模中的有关任务：数据挖掘、数据预处理、分类与预测、聚类分析、时序预测、关联规则挖掘、智能推荐、偏差预测等。(The author of this book starts from practice, combines a large number of data mining engineering cases and teaching experience, and uses real cases as the main line to explain the relevant tasks in data mining modeling in simple terms: data mining, data preprocessing, classification and prediction, cluster analysis, Preliminary prediction, association rule mining, intelligent recommendation, bias prediction, etc.)