OMUD-DS-CDMA-Multi-Path_k_users

一个基于阈值的粒子比较准则，用于处理多目标约束优化问题,该准则可以保留一部分序值较小且约束违反度在允许范围内的不可行解微粒,从而达到由不可行解向可行解进化的目的；一个新的拥挤度函数,使得位于稀疏区域和Pareto前沿边界附近的点有较大的拥挤度函数值,从而被选择上的概率也较大 从而构成解决多目标约束优化问题的混合粒子群算法。(A comparison based on the threshold criteria for the particle to handle multi-objective constrained optimization problem, part of the guidelines can keep order value is small and the constraint violation in allowing infeasible solutions within the particles, so as to achieve a feasible solution to the infeasible solution The purpose of evolution a new function of crowding, making the Pareto front in the sparse region and near the border points have a greater value of the congestion function, which is the larger the probability of selection so as to constitute solve multi-objective constrained optimization problems hybrid particle swarm algorithm.)

MATLAB如何定义函数文件，对于使用matlab时，当发现没有合适的库函数，就需要自己定义函数了，此文档可帮助你(How MATLAB function definition file, for the use of matlab, when found no suitable library functions, you need to define your own functions, and this document can help you)

基于Matlab7_0PDE工具箱求解数学物理方程。直接应用Matlab7.0 的偏微分方程工具箱求解数学物理方程的方法(Based on equations of mathematical physics to solve Matlab7_0PDE toolbox. Matlab7.0 direct application of partial differential equations of mathematical physics equation solving toolbox approach)

matlab电力电子技术仿真的实现，真的很实用，帮了我很多，现在跟大家分享(matlab simulation of power electronic technology to achieve, really practical, helped me a lot to share with you now)

matlab里的经典算法，插值于拟合，含详细实现过程(matlab)

fuzzy logic program for sugeno

短时自相关算法的matlab程序 可以参考下(Short-term can refer to the autocorrelation algorithm matlab program)

说明：  车牌识别,matlab程序的，有一个车牌，一个M文件(che pai shi bie)

包含了OFDM同步的传统方案，及相关算法的同步算法，还包括改进方案和理想同步方案，并且作图(This program includes OFDM code synchronized algorithm)

A method is presented for augmenting an extended Kalman filter with an adaptive element. The resulting estimator provides robustness to parameter uncertainty and unmodeled dynamics.(A method is presented for augmenting an ext Kalman ended with an adaptive filter element. T he resulting estimator provides robustness to parameter uncertainty and unmodeled dynamics .)