gpc

matlab求解优先级排队系统，本例为两个带有优先级两个不带优先级的混合系统(matlab solving priority queuing system, in this case for the two hybrid system with a priority two and priority)

在量子智能算法中，针对Grover算法的程序仿真，希望对大家有所帮助(The simulation of the Grover algorithm in the quantum intelligence algorithm.)

用matlab 7.0编写的滑模变结构仿真的例子。(S-function for continuous state equation function [sys,x0,str,ts]=s_function(t,x,u,flag) switch flag, Initialization case 0, [sys,x0,str,ts]=mdlInitializeSizes Outputs case 3, sys=mdlOutputs(t,x,u) Unhandled flags case {2, 4, 9 } sys = [] Unexpected flags otherwise error([ Unhandled flag = ,num2str(flag)]) end mdlInitializeSizes function [sys,x0,str,ts]=mdlInitializeSizes sizes = simsizes sizes.NumContStates = 0 sizes.NumDiscStates = 0 sizes.NumOutputs = 3 sizes.NumInputs = 1 sizes.DirFeedthrough = 1 sizes.NumSampleTimes = 0 sys=simsizes(sizes) x0=[] str=[] ts=[] function sys=mdlOutputs(t,x,u) x11d=sin(pi*t/2) x21d=cos(pi*t) x31d=1 sys(1)=x11d sys(2)=x21d sys(3)=x31d )

有两组生物医学的实验数据，一组表示物质成分（TCE），一组表示 温度（temp），数据是在35天中每隔5天采样取得的，将物质成分和温度与时间的 关系画在一张图中。(There are two sets of biomedical experimental data, a group of said material composition (TCE), a group that temperature (temp), data is 35 days in samples obtained every 5 days, the material composition and temperature and time of relations draw on a diagram.)

书上构造的binl7.9小波函数,效果很不错，可以用于图像分解(wavelet funtion of binl7.9)

演示Hopfield网络，具有两个稳定平衡点，其期望向量T如下。(Demo Hopfield network with two stable equilibrium point, the expectation vector T as follows.)

简单明白的Principal component analysis (PCA) 使用例子。针对对新手(Simple to understand example of PCA use.)

模拟退火算法——组合优化 模拟退火算法主要用于解决组和优化问题，它是模拟物理中晶体物质的退火过程而开发的一种优化算法。在对固体物质进行模拟退火处理时，通常先将它加温熔化，使其中的粒子可自由运动，然后随着温度的逐渐下降，粒子也逐渐形成了低能态的晶格。若在凝结点附近的温度下降速率足够慢，则固体物质一定会形成最低能态的基态。 对于组合优化问题来说，它也有这样的类似过程。组合优化问题解空间中的每一点都代表一个具有不同目标函数值的解。所谓优化，就是在解空间中寻找目标函数最小（大）解的过程。若把目标函数看成能量函数，某一控制参数视为温度 T，解空间当作形态空间，那么寻找基态的过程也就是求目标函数极小值的优化过程。 (Simulated annealing algorithm- combinatorial optimization Simulated annealing algorithm used to solve optimization problems and the group, it is the physical simulation of the crystal material in the annealing process and the development of an optimization algorithm. Solid substances in the simulated annealing process, it is usually heated it first melts, so that the particles are free to exercise, then gradually decreased as the temperature of the particles gradually formed a lower state of the lattice. If the temperature drops near the condensation rate slow enough, the solids will form the lowest energy state of the ground state. For combinatorial optimization problems, it also has such a similar process. Combinatorial optimization problem the solution space of each point represents a different objective function value of the solution. The so-called optimization, is in the solution space to find the minimum objective function (large) solution process. If the objective function a)

应用数字信号处理matlab工具箱（数字信号处理）(Application of Matlab toolbox for digital signal processing (digital signal processing).)

应用于阵列信号处理，lms算法。对于改进lcmv具有重大意义(It is applied to array signal processing, LMS algorithm. It is of great significance to the improvement of LCMV)