an-interior-point-algorithm

自编的采用Hough变换的方法估计运动模糊图像的方向，含一个M文件，注释详细，希望对学习图像复原的朋友有一些帮助。(The use of self Hough transform to estimate the direction of motion blurred images, with an M file, comment in detail, hoping to restore the images to the friends learn that some help.)

Andrew J. Davison的源程序MATLAB版本，发表于2006年的SLAM夏令营。附有程序使用说明。 Matlab-based MonoSLAM with Inverse Depth(MATLAB source version of the Andrew J. Davison, published in 2006, SLAM summer camp. With program instructions. Matlab-based MonoSLAM with Inverse Depth)

应用遗传算法针对物流配送车辆路径规划问题进行求解，使用MATLAB进行编程(Using genetic algorithm to solve the problem of logistics distribution vehicle routing problem, using MATLAB programming)

Convert an Image From bit level to pixel level

fMRI算功能网络。输入资料为90个AAL脑区的BOLD均值，输出为二值网络(fMRI count function network. The input data for AAL 90 brain regions the BOLD mean, output binary network)

Robot Global Path Planning Based on Improved Artificial Fish-Swarm Algorithm

用蚁群算法解决TSP问题，其中有基本蚁群，蚁密系统，还有自己提出的改进算法，自带GUI界面。(TSP with ant colony algorithm to solve the problem, including the basic ant colony, ant density systems, as well as the improved algorithm itself, its own GUI interface.)

Generate test guasian

a simple dynamic voltage restorer by rms control strategy by simulink

This is a JPEG encoding & decoding program of still image. It does not use level shifting. Discrete Cosine transform (DCT) is performed both by classical & Chen s Flowgraph methods. Predefined JPEG quantization array & zigzag order are used here. RUN - LEVEL coding is used instead of Huffman coding. Compression ratio is compared for each DCT method. Effect of coarse and fine quantization is also examined. The execution time of 2 DCT methods is also checked. In addition, most energatic DCT coefficients are also applied to examine the effect in MatLab 7.4.0 R2007a. Input is 9 gray scale pictures & output is 9*9=81 pictures to compare. Blocking effect is obvious. (This is a JPEG encoding & decoding program of still image. It does not use level shifting. Discrete Cosine transform (DCT) is performed both by classical & Chen s Flowgraph methods. Predefined JPEG quantization array & zigzag order are used here. RUN - LEVEL coding is used instead of Huffman coding. Compression ratio is compared for each DCT method. Effect of coarse and fine quantization is also examined. The execution time of 2 DCT methods is also checked. In addition, most energatic DCT coefficients are also applied to examine the effect in MatLab 7.4.0 R2007a. Input is 9 gray scale pictures & output is 9*9=81 pictures to compare. Blocking effect is obvious. )