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MATLAB程序设计教程，ppt格式，同时包含有大量程序设计案例源代码(MATLAB programming tutorials, ppt format, also contains a large number of cases the source code programming)

Conversion between absolute and relative path names

Matlabr2010b清晰教程 很有用的 大家分享下(Clear matlabr2010b tutorial useful to share under)

说明：  通过 matlab 编程实现捷联惯导系统初始对准、惯导解算的全过程。 1）初始自对准：利用前10分钟实验车静止的数据进行惯导系统的自对准。采用前2分钟数据进行解析粗对准，后8分钟数据用五状态Kalman滤波器实现精对准；为了验证精对准性能，可在粗对准结果上把航向角人为加一定幅度（如10度）的误差，观察精对准的收敛性能。 2）纯惯导解算：对准结束后转入纯惯性导航解算，要求进行双子样的圆锥和划摇补偿，即每20ms完成一次导航解算，输出完整的导航结果包括三个姿态、两个水平速度和两个水平位置（天向通道发散不必输出），并给出姿态、速度、位置随时间的变化曲线以及位置误差曲线。(The whole process of initial alignment and inertial navigation solution of strapdown inertial navigation system is realized by matlab programming.)

FuzzyClustering 及数据分析工具箱及示例程序,数据分析工具箱及示例程序,(FuzzyClustering toolbox and data analysis procedures and practices, data analysis toolbox and sample program,)

Comparative Study of MPPT 123

国外编辑的 一个java接口 功能是更改系统声音大小()

使用K-MEANS算法进行图像的分割，并且有详细的语句注释(K-MEANS algorithm using image segmentation, and a detailed statement notes)

说明：  matlab 7.5 电子教案 ppt 全集(ppt)

Principal component analysis (PCA) is a popular tool for linear dimensionality reduction and feature extraction. Kernel PCA is the nonlinear form of PCA, which is promising in exposing the more complicated correlation between original high-dimensional features. In this paper, we first talk about the basic ideas of PCA and kernel PCA, and then focus on the reconstruction of pre-images for kernel PCA. We also give an introduction on how PCA is used in active shape models (ASMs), and discuss how kernel PCA can be applied to improve traditional ASMs. Then we show some experiment results to compare the performance of kernel PCA and traditional PCA for pattern classification. We also implement the kernel PCA-based ASMs, and use it to construct human face models.