EuclideanRANSAC

Robotics TOOLBOX The Toolbox provides many functions that are useful in robotics including such things as kinematics, dynamics, and trajectory generation. The Toolbox is useful for simulation as well as analyzing results from experiments with real robots. Have fun with the toolbox. It is self-explanatory and very (robotics) user friendly...see the robot.pdf

对任意大小的灰度图像进行zig-zag变换和反变化，或者是对DCT之后的图像进行zig-zag变换，确定其中频信息。(Any size of gray-scale images in zig-zag transform and anti-change, or is the DCT of the image after the zig-zag transform, to determine which frequency information.)

these operators can be used for segmentation

c程序的105个经典的例子，新手很值得一看。(c program examples of the classic 105, novice is worth a visit.)

MATLAB课程设计基于Matlab和双线性变换的滤波器设计 (MATLAB course design based on MATLAB and bilinear transformation of filter design)

可以选取图像的部分进行放大操作，能够更好的展现图片的细节，论文制图必备工具。通过调用mmzoom命令即可实现(To partial enlarge fig, which can better shows the detail of picture. It s an essential tool for paper writing. It can be implemented by entering mmzoom .)

说明：  基于MATLAB的GA-BP神经网络代码实现(Realization of GA-BP neural network code based on MATLAB)

基于matlab的均匀方阵二维DOA酉ESPRIT 算法，同时包含空间平滑，可以解决相干源问题(Based on uniform square matlab-D DOA unitary ESPRIT algorithm, also includes space for a smooth, coherent source of the problem can be solved)

MATLAB 2009b 从入门到精通，关于matlab的相关操作。 (If you are viewing this topic in the MATLAB Help browser, you can run one of the utilities provided here to create associations in the Windows environment for common file types used by MATLAB.)

针对滚动轴承故障信号具有非平稳、非高斯的特点，提出了将时域分析与小波分析相结合的方法对滚动轴承进行故障诊断。在研究不同信号分析方法理论的基础上，以滚动轴承外圈故障振动信号为例，采用多种信号处理方法进行了分析。结果表明，各种分析方法在分析轴承故障时的特点各不相同，在实际使用中，可将时域分析与小波分析综合使用，实现轴承状态的实时监测与故障的准确定位。(For rolling bearing fault signals have non-stationary, non-Gaussian, we proposed the time-domain analysis and wavelet analysis method of combining the rolling element bearing fault diagnosis. In the study of different analytical methods based on the theory of signal to the outer ring rolling bearing fault vibration signal, for example, using a variety of signal processing methods are analyzed. The results show that a variety of analytical methods in the analysis of the characteristics of bearing failure vary, in actual use, can be time-domain analysis and synthesis using wavelet analysis, to achieve accurate positioning of the bearing condition monitoring and real-time fault.)