ValenceaArousal

Simulated annealing (SA) is a generic probabilistic metaheuristic for the global optimization problem of applied mathematics, namely locating a good approximation to the global optimum of a given function in a large search space. It is often used when the search space is discrete (e.g., all tours that visit a given set of cities). For certain problems, simulated annealing may be more effective than exhaustive enumeration — provided that the goal is merely to find an acceptably good solution in a fixed amount of time, rather than the best possible solution.

matlab入门到精通，对初学者和高手都非常有用。(Entry to the proficient in matlab, is very useful for beginners and master.)

This is a program to illustrate the interference cancellation in cognitive radio

说明：  MATLAB程序，通过3维空间点插值，构建数字地图，可以根据调整点坐标自行构建数字地图。(MATLAB program, through three-dimensional space point interpolation to construct a digital map, you can adjust themselves to build a digital map based on coordinates.)

quantization in pam modulation

主要用matlab产生C/A码，并且捕获到信号，输出捕获结果和相位起始位置，而且可以实现对信号的跟踪，输出跟踪偏差和偏差震荡曲线，是一个很好很完整的GPS软件仿真的参考程序.(Mainly used matlab generated C/A code and capture the signal, and outputs the results of the capture phase starting position, but also can realize the tracking signal, output tracking error and error shock curve, is a very good simulation of the complete GPS software reference program.)

array weighting models fort smart antennas

fft变换举例，实例分析MATLAB 中的FFT变换的使用方法，清晰明了。(fft transform example)

严格按照BP网络计算公式来设计的一个matlab程序,对BP网络进行了优化设计 优化1：设计了yyy，即在o(k)计算公式时，当网络进入平坦区时(<0.0001)学习率加大， 出来后学习率又还原 优化2：v(i,j)=v(i,j)+deltv(i,j)+a*dv(i,j) (A Matlab procedures in strict accordance with the BP network computing formula to design, the optimization design was carried out on BP network Optimization design of 1: YYY, that is O (k) in the formula, when the network into the flat area (<0.0001) learning rate increase, after learning rate and reduction Optimization of 2:v (I, J) =v (I, J)+deltv (I, J)+a*dv (I, J) )

近似强化学习和动态规划工具箱。包含各种具体实例和算法程序。非常有用。(A Matlab Toolbox for Approximate RL and DP This toolbox contains Matlab implementations of a number of approximate reinforcement learning (RL) and dynamic programming (DP) algorithms. )