MATLAB-GUI-instruction-video-3

是书名为《MATLAB程序设计教程》的ppt课件。这本书可以作为MATLAB的入门教程，简单易懂。(is entitled "MATLAB Design Guide" ppt courseware. This book can serve as a portal MATLAB Guide, simple and understandable.)

jakes channel model

wireless 5g opfd matlab

说明：  三维坐标系下的比例导引拦截目标，目标为正弦函数波动。(Interception Target by Proportional Guidance in Three-Dimensional Coordinate System)

低秩矩阵与稀疏表示原理，详细的说明了用低秩矩阵与稀疏表示去分离一个有噪声的图像(The low-rank matrix with sparse principle, a detailed description of the low-rank matrix with sparse to isolate a noisy image)

Edge detection result should be enhanced using linear method like Median filter to remove the garbage around the pupil to gain clear pupil to determine perfect centre. Get the centre of the pupil by counting the number of black pixels (zero value) of each column and row. Then get each row and column that has the maximum number of these black pixels. Then determine the center by simple calculation according to the image coordinate to set it correct on the image, consequently we can determine the radius of the pupil. Thus we can find the pupillary boundary (inner). A similar procedure is extended by using a coarse scale to locate the outer boundary (limbus) which can be apparent by using the mid-point algorithms of circle and ellipse.

Prior to release 0.40, H5DUMP relied upon HDF5INFO to provide the metadata necessary, but now it now relies entirely on the low-level interface. Since it is not backwards compatible with prior releases, the old version is provided in the obsolete directory. (Prior to release 0.40, H5DUMP relied upon HDF5INFO to provide the metadata necessary, but now it now relies entirely on the low-level interface. Since it is not backwards compatible with prior releases, the old version is provided in the obsolete directory.)

说明：  分类器 最小分类错误的分类器 模式识别的重要应用领域(Minimum classification error classifier classifier)

四元数表示的，用于matlab仿真的工具箱。通过它，可以掌握四元数的一些特征。(quaternion said, for the simulation of Matlab Toolbox. Through it, we can get quaternion some characteristics.)

image processing S7_morphological_filtering