LDPC_BP_decode

image reconstruction using hybrid transform

基于混沌系统的用用加密解密方法及实现源程序代码(Image encryption and decryption)

This ppt contains information about the event management system system. The scope of the project and objectives of the project is also mentioned in this ppt.

地震资料的存储格式一般是以二进制存放的。此程序能够很好的读写地震资料(Seismic data storage format is generally stored in binary. This program can read and write well seismic data)

Shannon-Fano implementation in C++

该程序在matlab平台上实现了用最佳提取图像边缘的canny算子提取整副图像的边缘象素. 其中利用高斯函数滤除噪声和用高斯算子的一阶微分对图像滤波合并为一个算子,通过形态学算子将两幅图像的边缘进行连接.(The program in matlab platform to achieve the best extraction of the canny edge operator extract the whole image edge pixel deputy. Which use Gaussian function to filter out the noise and the use of Gaussian operator of the first-order differential of the image filtering into an operator, through morphological operators to the brink of two images connect.)

层次分析法在数学建模中的应用，用matlab解决比较好。(AHP in mathematical modeling matlab solve.)

matlab 中实现一个四叉树的结构,使用递归过程，整合成一次二向遍历(secure yourself with a simple quadtree in matlab)

为了获得更加准确的估计位置,对一种基于数据融合的定位解算算法进行了研究,在将模拟退火算法与经典的泰勒级数展开法和Chan氏算法进行性能比较的基础上,将模拟退火算法与上述两种经典的位置解算算法相结合,通过构造多算法协同定位模型,并基于该模型设计了融合定位算法,对传统定位解算算法进行改进,提出了一种基于数据融合的定位解算算法。仿真结果表明,融合算法的定位精度优于非融合算法且运算量较小(In order to obtain more accurate estimates of the location of a data fusion-based positioning solver algorithm is studied in the simulated annealing algorithm with the classical Taylor series expansion method and Chan' s algorithms performance comparison based on simulated annealing algorithm with the above-mentioned two kinds of classical solution calculate the location of the Combination, by constructing a multi-algorithm co-location model, and model design based on the location of the fusion algorithm, the traditional location solver algorithm is proposed to improve a position based on data fusion solver algorithm. Simulation results show that the positioning accuracy of better than fusion fusion algorithm and the computation of non-small)

系统辨识与自适应控制---遗忘因子递推最小二乘参数估计(forgetting factor recursive least squares parameter estimation)