04027573

Advanced correlation filter synthesis algorithms to achieve rotation invariance are described. We use a specified form for the filter as the rotation invariance constraint and derive a general closed-form solution for a multiclass rotation-invariant filter that can recognize a number of different objects. By requiring the filter to minimize the average correlation plane energy, we produce a multiclass rotation invariant (RI) RI-MACE filter, which controls correlation plane sidelobes and improves discrimination against false targets. To improve noise performance, we require the filter to minimize a weighted sum of correlation plane signal and noise energy. Initial test results of all filters are provided

用matlab编写的求解10城市、31城市、70城市的TSP模拟退火算法，供大家学习只用，算法简洁明了，注释全，易理解。(Using matlab to solve 10 cities, 31 cities, 70 cities TSP simulated annealing algorithm, only for them to learn the algorithm concise, notes the whole, easy to understand.)

说明：  利用matlab的gui设计的带有输入和输出功能的界面图形，可视性很强，自己独立编写的数据和图形，学习非常值得(Uses the Matlab GUI design to have the input and output function the interface graph, the visibility is very strong, the data and the graph which oneself compiles independently, the study is very worthwhile.)

全面的压缩传感重构算法源程序，包括匹配追踪系列，范数系列等(Comprehensive source compressed sensing reconstruction algorithms, including the matching pursuit series, norm series)

EBA Ogame Based Web Game Default Configs : Database Name : arudb Database User : root Database Pass : apmsetup

基于SIFT的图像配准，使用的是matlab自带函数(SIFT-based image registration, using its own function matlab)

席位分配的matlab例程，可以勾选多种算法以方便练习使用(The distribution of seats in matlab routines, you can check a variety of algorithms to facilitate the use of practice)

建立一个WS小世界的模型，返回该模型的连接矩阵(establish a WS small world model and obtain its adjency matrix)

The JPEG compression scheme is divided into the following stages: 1. Transform the image into an optimal color space. 2. Adjust Aspect Ratio 16:9 3. Digitization Scheme 4:2:0. 4. Apply a Discrete Cosine Transform (DCT) to blocks of pixels, thus removing redundant image data. 5. Quantize each block of DCT coefficients using weighting functions optimized for the human eye. 6. Encode the resulting coefficients (image data) using a Huffman variable word-length algorithm to remove redundancies in the coefficients. 7. Byte Stuffing. 8. Header JFIF 9. JPG Data Store

Control of statcom using matlab simulation. PI controller is used.