voc-release5

MATLAB particle swarm algorithm, realize the MIMO equalization.

Anky_Glass Only for cubic model (odd) clear clc load Glass3D_25cube_0p75A.mat (Anky Glasses)

Flexible Job Shop Scheduling _modm in matlabe

mse 以及 perception 和svm 的 分类器设计 (mse perception svm design)

matlab函数scaleif，用于改变度量，详见英文描述( function sim = scaleif(im, newMin, newMax, oldMin, oldMax) Scales an image such that its lowest value attains newMin and it highest value attains newMax. OldMin and oldMax are not necessary but are useful when you don t want to use the true min or max value.)

压缩包内为计算方法与数值分析中常用的求解算法的Matlab实现。(Calculating method and numerical analysis method commonly used algorithm in Matlab.)

Matlab 的图形化界面设计，主要功能包括打开一幅图像，并对其进行二值化处理，显示结果。(The GUI of matlab.It can open an image and use the method of mage binaryzation to process it.At last,give us the result.)

说明：  matlab 1_Jacobi迭代解法 matlab 1_Jacobi迭代解法matlab 1_Jacobi迭代解法 matlab 1_Jacobi迭代解法 matlab 1_Jacobi迭代解法(matlab 1_Jacobi迭代解法)

1、本程序用于仿真里德-穆勒（Reed-Muller）码在AWGN信道中的性能，调制采用bpsk 2、理论请参见《差错控制编码》（第二版），Shu Lin（美）编，晏坚等（译）一书P70-75.且仿真结果与书中图4-2完全一致 3、BPSK_AWGN_RM_Code.m为主程序，点击运行即可 4、The_creation_of_RM_code.m和RM_Decode.m分别为RM码的编、译码程序，而Majority_logic_decision.m用于译码中的大数判决，combine_dunction.m用于计算组合数。(1, the procedure for the simulation Reed- Muller (Reed-Muller) codes in AWGN channel performance, modulation using bpsk 2, theory, see " Error Control Coding" (second edition), Shu Lin (America) series , Yan Jian, etc. (translated) book P70-75., and the simulation results consistent with the book Figure 4-2 3, BPSK_AWGN_RM_Code.m-based program, click Run to 4, The_creation_of_RM_code.m and RM_Decode.m were RM compiled code decoding process, and in large numbers for decoding Majority_logic_decision.m judgment, combine_dunction.m used to calculate the number of combinations.)

粒子群优化工具箱，采用Matlab编写的PSO程序工具箱(Development Notes for psopt toolbox Future plans (in no particular order): * Performance improvement: Automatically check for existence of constraints, skip boundary-checking if unconstrained. * Performance improvement: Automatically vectorize fitness functions supplied by user, if not already vectorized. * Performance improvement: Detect and eliminate dependent (i.e. redundant) linear constraints. * Performance improvement: Automatically choose "penalize" versus "soft" constraint handling method based on type of constraints in problem. If any equality constraints exist, using "penalize", otherwise default to "soft". If "soft", automatically switch to "penalize" if more than a given percentage of particles (initial or interim) are infeasible. * Feature: An output function defined by options.OutputFcns that can save current swarm state in a file which can be reloaded later as a problem structure, in case of a system crash. * Feature: Implement multiobjective optimization option)