data_fourclass_NIR_lu

matlab 插值与拟合的几个程序 牛顿迭代法 数值分析与mtlab源码 还有其他的一些例子(Matlab interpolation and fitting of several procedures Newton iterative numerical analysis and also its source mtlab Some of his examples)

用Matlab编写的三维荧光分析工具，可以导入、浏览荧光数据，自动进行平行因子分析，并确定荧光组分。(The drEEM toolbox (decomposition routines for Excitation Emission Matrices) has been developed to support and extend the application of PARAFAC to fluorescence Excitation Emission Matrix (EEM) datasets. The toolbox contains numerous MATLAB functions for importing, assembling and exporting datasets, applying spectral corrections, visualising EEMs, detecting sample outliers, and developing and validating PARAFAC models. drEEM uses the embedded N-way toolbox as its PARAFAC engine. )

牛顿环 杨氏双缝的MATLAB代码，很实用，很准确(Young' s double-slit Newton ring MATLAB code, very practical, very accurate)

LZ复杂度反映的是一个时间序列中，isodata 迭代自组织的数据分析，计算一维光子晶体的透射特性和反射特性。( LZ complexity is reflected in a time sequence, Isodata iterative self-organizing data analysis, Calculated transmission characteristics and reflection characteristics of the one-dimensional photonic crystals.)

tpdsola algorithm,Synthesized speech can be produced by several different methods. All of these have some benefits and deficiencies that are discussed in this and previous chapters. The methods are usually classified into three groups: Articulatory synthesis, which attempts to model the human speech production system directly. Formant synthesis, which models the pole frequencies of speech signal or transfer function of vocal tract based on source-filter-model. Concatenative synthesis, which uses different length prerecorded samples derived from natural speech. The formant and concatenative methods are the most commonly used in present synthesis systems. The formant synthesis was dominant for long time, but today the concatenative method is becoming more and more popular. The articulatory method is still too complicated for high quality implementations, but may arise as a potential method in the future.

模糊PID控制算法,对模糊控制与pid的结合的学习有帮助(mo hu pid)

digital signal processing homwork

主要包括一个测试数据集合mydata.mat,main.m，DBSCAN.m和PlotClusterinResult.m共4个文件，我们在测试实验实验中做了两个方面更改：1)更换了另外一个测试数据，测试数据来源于[13]（取其中的一部分）,2)添加了个K距离图部分代码(均在如下主程序代码中给出)，代码按照个人对k-distance graph的理解编写，如有错误之处，望大家指正，3）改变参数Eps值大小，输出结果并显示。(Including a test data set mydata.mat, main.m, DBSCAN.m and PlotClusterinResult.m, a total of 4 documents, we do two aspects of change in the experimental test: 1) to replace another test data, test data from [13] (part of the), 2) add a K distance map the code (both in the main program code are given in the following), according to the personal understanding of the k-distance graph code written, if wrong, hope you correct me, 3) value to change the parameters of Eps, output and display.)

mat lab program for ac circuits

将要分析的数据放在C盘的ELI.xls表的Bay表单中，根据数据多少调整读取范围（修改 b2:f16 此句) 结果有两种，一种是按数据计算权值求出的结果，另一种是参考建议值求出的结果。结果写入C盘的ELI表格，范围要手动根据数据多少调整(The data will be analyzed on the C disk ELI.xls Table Bay form, how much to adjust the data read range (change ' b2: f16' sentence) result, there are two, one is calculated according to weight data the results obtained, the other is the result of reference to find the recommended value. Results written to C drive of the ELI forms, the scope of how much to manually adjust the data)