kill

matlab仿真教程，simulink模块讲解(matlab simulation tutorial)

是一些matlab程序，MATLAB_netcdf_20101222matlab_netCDF_OPeNDAmatlab_netCDF_OPeNDAPget_dods_dds.m(studying MATLAB_netcdf_20101222matlab_netCDF_OPeNDAmatlab_netCDF_OPeNDAPget_dods_dds.m)

PLS算法 采用归一化 拟合更好的非线性迭代偏最小二乘法（NIPALS）(PLS algorithm using normalized fitting better nonlinear iterative partial least squares (NIPALS) )

模式识别中的K均值算法，对数据进行归类。程序中，使用了二维数据进行分类。通过修改参数，也可以支持三维或是更高维数的分类。(the K-means algorithm for Pattern Recognition )

homework 3-5 is difficult

a logistic regression in matlab

管道壁面曲线方程为： 进口位置：；出口位置：（单位：m） 流动条件：；； 计算网格要求：轴向不少于50个网格点，横向不少于30个网格点。(Pipe wall curve equation: Import Location: exit position :( Unit: m) flow conditions: computing grid requirements: axial least 50 grid points, 30 less than the transverse grid points.)

DTW（Dynamic Time Warping，动态时间归整）算法，该算法基于动态规划（DP）的思想，解决了发音长短不一的模板匹配问题，是语音识别中出现较早、较为经典的一种算法。用于孤立词识别，DTW算法与HMM算法在训练阶段需要提供大量的语音数据，通过反复计算才能得到模型参数，而DTW算法的训练中几乎不需要额外的计算。所以在孤立词语音识别中，DTW算法仍然得到广泛的应用。 (DTW (Dynamic Time Warping, dynamic time warping) algorithm based on dynamic programming (DP) ideas, sounds of varying lengths to solve the template matching problem, is speech recognition appeared earlier, more classic kind of algorithm. For isolated word recognition, DTW algorithm and HMM algorithm in the training phase need to provide a large number of voice data, obtained by repeated calculations to model parameters, while the DTW algorithm is almost no additional training calculations. Therefore, in isolated word speech recognition, DTW algorithm is still widely used.)

提出了一种基于小波变换和模糊集的图像融合算法.其基本思想是: 首先对图像进行小波变换,获得图 像的低频和高频分量 随后在融合过程中, 对低频和高频分量采取不同的融合策略, 即对低频分量采用平均能 量法进行融合,对高频成分利用图像的模糊集, 寻求一个模糊隶属函数作为融合算子进行融合 最后再对融合 后的图像进行小波反变换,重构出融合后的图像.实验结果证明了方法的有效性.(Proposed image fusion algorithm based on wavelet transform and fuzzy sets. The basic idea is: First the image wavelet transform to obtain the low and high frequency components of the image followed by low and high frequency components in the fusion process to take a different the integration of strategy, integration of the low frequency components using the average energy method, the use of high frequency components of the image fuzzy sets, look for a fuzzy membership function as a fusion operator for fusion image fusion wavelet transform and re- structure of fused images. experimental results demonstrate the effectiveness of the method.)

对Lorenze系统进行延迟反馈控制，系统采用Simulik建模仿真(Delay feedback Control for Lorenze Chaos system)