EKF01

改程序实现了LTE系统下行链路PDSCH的信道估计(Reform program to achieve a downlink LTE system PDSCH channel estimation)

本程序采用遗传算法接力进化,子函数和主函数不要放在一起，子函数另外作为一个M文件，运行主函数。多次运行主函数，直到达到误差满意的效果。(This procedure using genetic algorithm (ga) relay evolution, function and main function don t together, and function of the file as a M, run the main function. Run several times the main function, the error until you reach satisfactory results. )

Probabilistic Neural Network

说明：  用matlab解决TSP旅行商问题,针对30个城市最短路径进行优化(Using matlab to solve the traveling salesman problem TSP for 30 cities to optimize the shortest path)

this is very usfull book in matalb try to download it regards

仿真分析相控阵雷达中二维面阵的雷达方向图以及一些其他因素对方向图的影响，以及随机误差和量化误差的影响(Simulation analysis of radar direction Fig. 2D phased array radar array and some other factors on the direction map, and the effect of random error and quantization error)

独立成份分析（ＩＣＡ）以及ｗｉｎｎｅｒ滤波 Source separation of complex signals with JADE. Jade performs `Source Separation in the following sense: X is an n x T data matrix assumed modelled as X = A S + N where o A is an unknown n x m matrix with full rank. o S is a m x T data matrix (source signals) with the properties a) for each t, the components of S(:,t) are statistically independent b) for each p, the S(p,:) is the realization of a zero-mean `source signal . c) At most one of these processes has a vanishing 4th-order cumulant. o N is a n x T matrix. It is a realization of a spatially white Gaussian noise, i.e. Cov(X) = sigma*eye(n) with unknown variance sigma. This is probably better than no modeling at all...( Source separation of complex signals with JADE. Jade performs `Source Separation in the following sense: X is an n x T data matrix assumed modelled as X = A S+ N where o A is an unknown n x m matrix with full rank. o S is a m x T data matrix (source signals) with the properties a) for each t, the components of S(:,t) are statistically independent b) for each p, the S(p,:) is the realization of a zero-mean `source signal . c) At most one of these processes has a vanishing 4th-order cumulant. o N is a n x T matrix. It is a realization of a spatially white Gaussian noise, i.e. Cov(X) = sigma*eye(n) with unknown variance sigma. This is probably better than no modeling at all...)

matlab程序设计实例第二版 刘卫国 书中的原程序(the original program of the second edition of Matlab programming instance Liu Weiguo book)

mittage 函数的matlab 实现 (mittage function with matlab)

single image dehazing matlab代码(single image dehazing matlab code)