sharpness-code

这是激光猝发信号的信号模拟，他是信号模拟的基础，也是信号调制与解调的信号源。(This is a laser burst signal analog signal, he is the basis of signal simulation is the signal modulation and demodulation of the signal source.)

this is program for amplitude shift keying

杂草算法, 2006年新提出的算法，matlab程序(IWO algorithm)

说明：  粒子群优化算法是一种进化优化技术，源于对鸟群扑食的行为，是一种基于迭代的优化工具。此文件提供了基本粒子群算法、带压缩因子的粒子群算法、二阶粒子群算法、二阶振荡粒子群算法、权重改进的粒子群算法、混沌粒子群算法、基于杂交的粒子群算法、基于模拟退火的粒子群算法的MATLAB源代码。(PSO is an evolutionary optimization technique, derived from the behavior of the birds of prey, is based on iterative optimization tools. This document provides basic particle swarm algorithm, with a compression factor of the particle swarm algorithm, particle swarm optimization order, second order oscillating particle swarm algorithm, the weight particle swarm algorithm, chaotic particle swarm algorithm, based on hybrid particle swarm algorithm, based on Simulated annealing particle swarm optimization MATLAB source code.)

是空间普中的经典music算法仿真程序，其中包含了4中算法的对比(this is a classical MUSIC algorithm what is about the spatial spectrum estimation)

To construct all type of filters for the category of hamming, hanning e.t.c.

在matlab上利用鲍威尔发求解的优化算法(In Powell made using matlab to solve the optimization algorithm)

说明：  本人经过对最小二乘法拟合程序进行了归纳汇总编写了这个MATLAB小程序，一般情况都适用。(General least squares fitting procedure code)

cao法求延迟时间和嵌入维数，有程序有图，很好用(cao method the delay time and the embedding dimension, there are procedures in FIG good use)

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.)