Map-matching-algorithm

Matlab中生成MIF格式的文件，满足Quartus中载入数据需要(Matlab generated MIF file formats to meet the data needs to load Quartus)

贝克汉函数方便解决一些复杂函数，可以调用作为子函数来使用。(Beckham convenient function to solve some complex functions can be called as a subroutine to use.)

说明：  该代码从polar信道编码到SC译码算法在BEC信道上进行全面仿真。仿真结果是基于不同码率的误块率。(The code from polar channel coding to SC decoding algorithm is simulated in BEC channel. The simulation results are based on different bit rate block error rate.)

matlab语言开发的退火算法，主要用于算法的优化。可以实现寻找运行代价与通讯时间之和的近似最小值的功能，也可用于任务分配问题，本题是求50个任务分配到8台计算机的最优解。源码有详细注释，更便于理解。(matlab language development of the annealing algorithm, mainly used algorithms. Find running costs can be achieved with the communication time and the approximate minimum of the function can also be used for task allocation problem, the problem is the pursuit of the 50 tasks assigned to the optimal solution of 8 computers. Detailed source notes, is more easy to understand.)

对于matlab编程的一些风格的指南，感觉还是比较重要，特别对于初学者，分享一下啦(For some matlab programming style guide, I feel it is quite important, especially for beginners, to share it)

高斯过程是一种非参数化的学习方法，它可以很自然的用于regression，也可以用于classification。本程序用高斯过程实现分类！(Gaussian process is a non- parametric method of learning, it is very natural for regression. can also be used for classification. The procedures used to achieve classification Gaussian process!)

mathews数值分析书的源代码，用matlab编写，第一章第六部分程序。(mathews numerical analysis of the book' s source code, using matlab, Chapter VI program.)

程序是基于元胞自动机的交通模型，主要是针对单车道、单车变数运动的描述(Program is based on cellular automaton traffic model for the description of the movement of bicycle paths, cycling variables)

PSO_DynamicEnvironment是用粒子群算法（particle swarm algorithm）解决动态环境寻优（最优值不断变化）的问题。文件打开后运行PSO_DynamicEnvironment.m文件即可得到结果，代码中有详细注释，方便修改。运行示例已经保存为图片附在压缩包中。(PSO_DynamicEnvironment solve dynamic environment particle swarm optimization algorithm (particle swarm algorithm) (optimal value changing) problems. Run PSO_DynamicEnvironment.m file to get the file to open the result, the code has detailed notes, easy to modify. Run the sample has been saved as a picture attached to the compressed package.)

Kernel Methods Toolbox a MATLAB toolbox for nonlinear signal processing and machine learning