regheap

说明：  绘制GPS导航系统中卫星轨道的仿真程序，采用MATLAB开发工具编写(Mapping GPS Navigation System satellite orbit simulation program using MATLAB development tools to prepare)

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使用GS理论简单实现相位重建的算法，图片包含在内(Simple Phase Reconstruction Using GS Theory)

This utility provides a powerful zooming tool specially designed for the documentation of original and zoomed 2D graphics of images on the same plot. It is composed of two blocks (the secondary axes and the magnifier). The secondary axes, which can be arbitrarily allocated within the limits of the figure, displays the area marked by the magnifier. The highly versatile interface of the on-figure magnifier offers a world of possibilities in a broad range of applications and fields. The Keyboard/mouse or programmatic configuration of this tool allows the user to set her or his own graphic style, to suit the requirements of any publication s editor. More details on interfacing and properties can be found in the .m file.

粒子滤波跟踪算法学习的好文档。为个人读书心得，主要从三个角度去理解粒子滤波，由浅入深，有学习价值！(Particle filter tracking algorithm to learn a good document. For personal reading experience, mainly from the three perspectives to understand the particle filter, Deep learning value!)

matlab code for level set for image segmentation

编写M文件，创建如下图形窗口，分别绘制如下图所示的曲线。 （1）曲线y=sin(t)sin(9t)，要求采用红色，点线。横坐标取值范围[0~ ]，标注x轴、y轴并加标题。 （2）一组余弦曲线，其振幅分别为0.4，0.6和0.8。横坐标取值范围[0~2 ]。添加图例与标题。进入图形编辑状态，调整图例的位置。 （3）分别绘制peaks函数的曲面图和网格线图。对曲面图做平滑处理，并添加标题与colorbar。 (Write M file, create the following graphics window, curves were plotted as shown below. (A) the curve y = sin (t) sin (9t), require the use of a red dotted line. The abscissa in the range [0 ~  ], labeled x-axis, y-axis and a title. (2) a set of a cosine curve, and the amplitude was 0.4, 0.6, 0.8. Abscissa value range [0 ~ 2  ]. Add a legend and title. Into the graphical editing mode, adjust the position of the legend. (3) were drawn surface chart peaks function and grid line graph. Surface charts do for smoothing and add titles and colorbar.)

实现三维定位，利用chan算法与taylor算法想结合的方法，减小了定位误差(Three-dimensional positioning, would like to combine the use of the chan algorithms and taylor algorithm method to reduce the positioning error)

简单matlab介绍，常用信号的处理，适于刚开始学习matlab！(Simple matlab, the commonly used signal processing, suitable for beginning to learn matlab!)

针对SVM法线特征筛选算法仅考虑法线对特征筛选的贡献,而忽略了特征分布对特征筛选的贡献的不足,在对SVM法线算法进行分析的基础上,基于特征在正、负例中出现概率的不同提出了加权SVM法线算法,该算法考虑到了法线和特征的分布.通过试验可以看出,在使用较小的特征空间时,与SVM法线算法和信息增益算法相比,加权SVM法线算法具有更好的特征筛选性能.(Normal feature selection for SVM algorithm only considered normal for the contribution of feature selection, to the neglect of the characteristics of the distribution of feature selection have contributed to the lack of normal SVM algorithm based on the analysis, based on the characteristics of the positive and negative cases emergence of a different probability-weighted normal SVM algorithm, which takes into account the distribution and characteristics of normal. through the test can be seen in the use of smaller feature space, the normal and the SVM algorithm and information gain algorithm, normal weighted SVM algorithm has better performance of feature selection.)