Matlab-Guide

说明：  最小局方误差的语音增强方法，MMSE的最原始应用方法，比较经典的哦入门算法(Minimum error of the Bureau of speech enhancement, MMSE application of the most primitive methods, comparing the classic Introduction to Algorithms oh)

说明：  matlab算法，grubb，dixon准则等实现剔除异常实验数据(matlab learning)

基于ＭＡＴＬＡＢ的小波分析应用：运用小波的时域、频域特征对摩托车发动机故障诊断和齿轮点蚀故障诊断(Wavelet analysis of MATLAB-based applications: the use of wavelets in time domain, frequency domain characteristics of motorcycles engine fault diagnosis and fault diagnosis of gear pitting)

压缩包内源码的主要用途是：ASK调试方式的matlab实现(The main purpose of this source is the matlab implementation of ASK debug mode)

用于流场的pod降阶处理，能够重构流场和对流场采用少量的阶数就可达到处理流场的目的。(For pod deal with reduced flow field, able to reconstruct the flow field and the flow field using a small amount of the order can achieve the purpose of processing the flow field.)

从曲线中检测到其峰值：先利用二次求导得到所有凸点，设置门限，去除过低的凸点，然后利用滑动窗的方法，在凸点中求得满足峰值要求的点(Detected from the curve to its peak: the first use of the second derivative method to get all the bumps, set the threshold too low to remove the bumps, and then use a sliding window, obtained in a bump to meet peak requirements of point)

Image Wavelet Transform

比较两个netcdf文件 1。通过添加内部ind2sub1函数remove函数依赖第三方 2。格式化文本(Description NCCMP compares two netcdf files and prints the differences. This function is useful for testing mathematical forecasting or prediction models. USAGE: NCCMP(ncfile1,ncfile2) NCCMP(ncfile1,ncfile2,tolerance,forceCompare) INPUT: ncfile1- name of the NetCDF file to compare ncfile2- name of the NetCDF file to compare tolerance- Compare numeric data using a tolerance threshold forceCompare- if false, exit when first difference is found true: continues to process all variables EXAMPLES: nccmp( old.nc , new.nc ,0.000001) nccmp( old.nc , new.nc ,[],true) FEATURES: 1. Print the differences and their locations 2. Exits when first difference is found or optionally continues to process all variables 3. User defined tolerance threshold to compare the variables TO DO: 1. Specific variable inclusion or exclusion 2. Specific attribute inclusion or exclusion 3. Option to ignore the history attribute 4. Ignore difference between v)

introduce install omnet by video

EasyMod is a MatLab/Scilab toolbox for teaching modal analysis. It provides a set of functions allowing to establish the identification of modal parameters and these validation. Nowadays, circle-fit, line-fit and least square complex exponential methods are implemented. In addition, some relevant functions are offered in order to complete a modal analysis: operations on the frequency response function (FRF) , generation of FRF from mass, damping and stiffness matrices, MAC (modal assurance criterion) and modal collinearity