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LTE下行链路自适应技术，用于空分复用闭环反馈，主要有CQI、PMI、RI估计，自适应调制和预编码(LTE downlink adaptive technology for space division multiplexing closed-loop feedback, mainly CQI, PMI, RI estimation, adaptive modulation and precoding)

fdtd算法一维自由空间没有吸收边界的源代码(1D FDTD simulation in free space Without Absorbing Boundary Condition)

用小波包包信号五层分解，得出每个频带重构信号，分析信号(xiao bo bao fen jie)

利用FOCUSS算法对数据进行重构表示，得到需要表示的成分，减少噪声干扰。(FOCUSS algorithms use the data to reconstruct said component required to obtain representation, reducing noise.)

clustering matlab code,check the number of clusters alive at certain iterations

高频雷达 目标检测 去除Bragg峰 采用现代信号处理的方法 协方差方法(Remove high-frequency radar target detection Bragg peak using the methods of modern signal processing methods covariance)

地统计学中使用MATLAB做球状模型拟合代码(To use MATLAB to do statistical model fitting spherical code)

使用MATLAB实现对信号的fft变换从而进行频谱分析(The use of MATLAB to achieve transformation of the signal in order to carry out the fft spectrum analysis)

支持向量机的实现程序，用于实现支持向量机基本算法的matlab代码(Support Vector Machine implementation of procedures used to implement the basic algorithm of support vector machine matlab code)

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.)