robot_mobil

本程序利用奇异值分解对3通道彩色图像进行压缩分解，具体步骤如下： 压缩过程： 1. 选取子图像大小K值，把图像分解成M×M个子图像，IMG(s),s=1,2,…, M2，其中M=N/K，原始图像IMG大小为N×N。 2. 计算这M2个子图像的平均值average，对每幅子图像减去均值图像得到新图像。 3. 计算相关矩阵R，其元素定义为 。 4. 计算R的特征值与特征向量，计算每幅子图像与最大特征向量的内积，便得到编码，即压缩后的图像。 (This procedure using singular value decomposition of 3-channel color image compression decomposition, concrete steps are as follows: compression process: 1. Select the sub-image size K value, the image is decomposed into M × M sub-image, IMG (s), s = 1, 2, ..., M2, in which M = N/K, the original image IMG size N × N. 2. M2 calculate the average of sub-image average, for each sub-image minus the new images mean images. 3. Calculation of correlation matrix R, defined as its elements. 4. Calculation of the characteristics of R value and eigenvector calculated each sub-image with the largest eigenvector of the inner product, they will have to code, that is, the compressed images.)

水平集经典方法的matlab工具箱,可以省却大量精力。(level set by the classical method of Matlab toolbox, we can save a great deal of energy.)

该Matlab程序给出了Schmidt-Kalman filter和标准Kalman filter之间的性能对比，不是函数的形式，是直接的可执行程序，如有需要，直接更改文件中的参数就可以了(The Matlab program gives the Schmidt-Kalman filter and standards of performance comparison between the Kalman filter is not a function of the form is directly executable program, if necessary, change the file directly to the parameters can be a)

ＬＴＥ基础平台中的G factor计算，即用户选择，非常有参考价值(very useful for lte user select)

说明：  sssxssxwcwvcververververvre

说明：  使用matlab编写的SOA算法，可以应用于PID参数优化整定(SOA algorithm for PID parameter tuning)

matlab小波分析软件,这是我从网上找来的，觉得很不错，对需要用matlab做小波的人来说是个很不错的东西，推荐给大家(matlab wavelet analysis software, which I got from from the Internet, I feel very good, on the need to use matlab to do wavelet who is a very good thing and recommend it to everyone)

ABS related graphics, brake forces versus slip ratio.

matlab中的绘图命令介绍，有助于初学者了解基本的绘图知识(drawing commands in the matlab help beginners understand the basic knowledge of drawing)

Linear Spatial Pyramid Matching Using Sparse Coding 图像分类实现代码(Linear Spatial Pyramid Matching Using Sparse Coding image classification implementation code)