zhifangtu

robot wandering simulation using matlab on two different maps

完整的基于HMM的语音识别系统，matlab编写的元胞自动机，合成孔径雷达（SAR)目标成像仿真。( Complete HMM-based speech recognition system, matlab prepared cellular automata, Synthetic Aperture Radar (SAR) imaging simulation target.)

用matlab实现的拥有图形化的交互界面，包括矩阵的运用，画图等等。和及格同学一起做的 (Using matlab to achieve the owner of the interactive graphical interface, including the use of matrices, drawing and so on. And a pass to do with my classmates)

lms算法的自己编的程序 包括各种影响因素的分析等等 包括运行结果分析图(LMS Algorithm own procedures, including analysis of various factors including the results and so analysis)

Maple Bai 2: Tinh toan trong maple

说明：  能量检测算法，用于cr中的，对于学习能量检测的有借鉴作用(Energy detection algorithm for the cr)

为实现合成孔径雷达（SAR）图像分类算法的测试与评估，将VC/Matlab 混合编程技术应用到SAR 图像分类平台开发中，分析与 比较了4 种VC/Matlab 混合编程方法及各自优缺点，并着重研究了基于组件对象模型（COM）的VC/Matlab 混合编程方法。使用Matlab COM 编译器创建了SAR 图像分类算法组件，在VC 中调用其导出的接口函数。在此基础上，完成了SAR 图像分类平台的实例开发且 可脱离Matlab 环境运行。实验结果表明，该方法较好地发挥了VC 与Matlab 各自的优势，提高了SAR 图像分类平台开发的效率。(In order to test synthetic aperture radar （SAR） image classification algorithm，VC/Matlab mixed programming technology was used in SAR image classification platform development. Four VC/Matlab mixed programming methods were introduced and analyzed. Comparing with other three methods，the method based on component object model （COM） was studied particularly. SAR image classification algorithm component was created by Matlab COM complier，and its interface function could be invocated with VC. Using this method，a SAR image classification platform was realized. The platform could run without Matlab. The experimental result shows a good combination of VC and Matlab. So，developing efficiency could be enhanced a lot.)

说明：  它主要研究的是多因变量对多自变量的回归建模，特别当各变量内部高度线性相关时，用偏最小二乘回归法更有效。另外，偏最小二乘回归较好地解决了样本个数少于变量个数等问题。 偏最小二乘法是集主成分分析、典型相关分析和多元线性回归分析3种分析方法的优点于一身。它与主成分分析法都试图提取出反映数据变异的最大信息，但主成分分析法只考虑一个自变量矩阵，而偏最小二乘法还有一个“响应”矩阵，因此具有预测功能。(It is mainly a result of the study is a multi-variable regression modeling and more independent variables, especially when the internal height of each variable linear correlation, partial least squares regression method is more effective. In addition, partial least squares regression solves the number of samples is less than the number of variables and other issues. Partial least squares method is a set of principal component analysis, canonical correlation analysis and multiple linear regression analysis of the advantages of the three methods in one. It is the principal component analysis are trying to extract the maximum information reflects data variability, but the principal component analysis considers only one independent variable matrix, and partial least squares and a &quot response&quot matrix, predictive capabilities.)

给出了用MATLAB语言实现功率谱估计的程序，压缩包内还有原理说明(Given by MATLAB language to achieve power spectrum estimation procedure, there is the principle of compressed packets that)

在语音信号处理中，特征的聚类用matlab来实现(in voice signal processing, feature clustering to achieve using Matlab)