NoiseLevel

说明：  利用高斯频谱产生三维的高斯随机起伏地表的小软件(generates 3D Gaussian random rough surfaces with Gaussian Spectrum.)

这个程序是vc和simulink的混合编程,在vc中调用simulink,对初学者会有很大的帮助...(This program is a mix of programming of vc and simulink in vc call simulink, there will be a great help for beginners ...)

鼠标滚轮控制文本字体大小_拖拽_单击关闭(Mouse Wheel Control text font size _ _ click Close drag)

用matlab绘制海洋声线的程序，是水声工程专业的人必须要掌握的(Marine acoustic line drawn using matlab procedure is Acoustics Engineering professional people must master)

自定义的三次样条小波去噪程序，其中分解层数为4，阈值处理采用软硬阈值计算方法。(The three-dimensional spline wavelet denoising procedure is adopted, and the number of decomposing layers is 4, and the threshold is used to calculate the soft and hard threshold.)

BP学习算法应用——模式分类 应用动量BP学习算法对UCI提供的经典数据库——鸢尾属植物数据库进行分类，速度快，精度高。iris.arff为数据库文件，可用Weka数据挖掘软件打开。Iris.csv为源代码读取的数据文件，通过Weka软件转换得到。 将源文件Iris_classify.m和Iris.csv文件放入matlab的work文件夹中直接运行即可。(BP learning algorithm applications- the application of pattern classification momentum BP learning algorithm to provide a classic UCI database- iris database classification, high speed and accuracy. iris.arff for the database file that can be used to open Weka data mining software. Iris.csv for the source code to read the data files have been converted through Weka software. Iris_classify.m the source document and document Iris.csv Add matlab folder of work can be directly run.)

matlab的各种命令调用及格式 方便编程的时候参考使用 希望能对各位有用(matlab' s command invokes the format convenient programming reference I hope you can be useful)

用MATLAB编写模煳控制表计算程序,模糊规则的选取(Mold burnt control table calculation program written using MATLAB)

basic parallel inverter

这是张德丰《MATLAB概率与数理统计分析》随书源码(M文件)。代码包括的内容有：概率分布计算及统计特征、数字特征计算、统计图绘制(盒状图、散度图等)、点估计和区间估计、假设检验、方差分析、曲线拟合、回归分析、因素分析、聚类分析、正交实验设计分析、多元方差分析、判别分析、隐马尔可夫模型建模与参数估计和在语音识别中的应用。(This is Zhang Defeng " MATLAB Analysis of probability and mathematical statistics," with the book source (M file). The contents of the code include: calculation of the probability distribution and statistical characteristics, digital feature calculation, statistical mapping (box-shaped graph, scatter graph, etc.), point and interval estimation, hypothesis testing, analysis of variance, curve fitting, regression analysis, factor analysis, cluster analysis, orthogonal experimental design, multivariate analysis of variance, discriminant analysis, hidden Markov modeling and parameter estimation and application in speech recognition.)