ldpc2

模式识别中朴素贝叶斯分类器,实习数据的良好分类技术(naive bayesian classification)

一端关于数字化信道接收机的源码，作毕设时用的，希望对大家有用(end of the digital channel receiver source for complete use of the established, we want to help! !)

matlab做的关于最短路问题的的实现。包含了2个课件。可直接使用。 (Matlab to do to achieve on the shortest path problem. Consists of two courseware. Can be used directly.)

Beam Analysis Matlab Codes

The implemention of the famous logic minimization algorithm, espresso. Be able to generate makefile automatically(The implemention of the famous logic minimization algorithm, espresso.)

该程序实现了对语言信号的降噪。这是个有用的软件(The program language signals to achieve a noise reduction. This is a useful software)

说明：  在X，y方向分别放水平磁环，在Z轴上放电偶极子，给出信号方位角估计随极化角度和俯仰角的变化的估计性能(In X, y directions are the level of magnetic release, discharge in the Z-axis dipole is given with the polarization angle estimate signal azimuth and elevation changes in the estimation performance)

基于背景差分的运动图像检测,对运动目标进行跟踪(Motion based on background difference image detection )

image enhancement technique for removing noise from images using different filter methods. very useful for spatial domain image enhancement technique...

粒子群算法，也称粒子群优化算法（Particle Swarm Optimization），缩写为 PSO， 是近年来发展起来的一种新的进化算法(Evolutionary Algorithm - EA)。PSO 算法属于进化算法的一种，和模拟退火算法相似，它也是从随机解出发，通过迭代寻找最优解，它也是通过适应度来评价解的品质，但它比遗传算法规则更为简单，它没有遗传算法的“交叉”(Crossover) 和“变异”(Mutation) 操作，它通过追随当前搜索到的最优值来寻找全局最优。这种算法以其实现容易、精度高、收敛快等优点引起了学术界的重视，并且在解决实际问题中展示了其优越性。粒子群算法是一种并行算法。(Particle swarm optimization, also known as particle swarm optimization (Particle Swarm Optimization), abbreviated as PSO, is a new evolutionary algorithm developed in recent years (Evolutionary Algorithm- EA). Kind, and simulated annealing algorithm PSO algorithm is similar evolutionary algorithms, it is also starting a random solution, through an iterative search for the optimal solution, which is also used to uate the quality through fitness solution, but it is simpler than genetic algorithm rules It has no genetic algorithm " crossover" (Crossover) and " variant" (Mutation) operation, which by following the current search to find the optimal value to the global optimum. This algorithm is its easy implementation, high accuracy, fast convergence, etc. attracted academic attention and show its superiority in solving practical problems. PSO algorithm is a parallel algorithm.)