PSO

matlab通信仿真实例详解，里面有很多通信仿真的例子，对于利用matlab进行通信仿真的学习具有很大的帮助。(matlab communication simulation example explanation, there are many examples of communication simulation, to communicate about the use of matlab simulation study of great help.)

非常好的matlab代码，欢迎下载分享学习！！！(this is a very good！！！！！！！！！)

小波神经网络研究的进展及及于rbf算法结合，希望可以抛砖引玉(Wavelet neural network and the progress of the studies and rbf algorithm in combination, hoping to start)

image processing by matlab

基于解相干的MUSIC源程序,几类空间平滑MUSIC源程序：1、后向空间平滑MUSIC源程序；2、前向空间平滑MUSIC源程序；3、双向空间平滑MUSIC源程序；(Based on decorrelation MUSIC source, several types of spatial smoothing MUSIC source: 1, backward spatial smoothing MUSIC source 2 forward spatial smoothing MUSIC source 3, two-way spatial smoothing MUSIC source )

自回归滑动平均模型，能很好地建立随机风速模型，产生随机序列。用于电力系统可靠性分析。(Autoregressive moving average model, stochastic wind energy is well established model, generate a random sequence. Power system reliability analysis.)

说明：  一个用于生产汉明窗的，小程序，希望对新手有帮助(A Hamming window for the production of small programs, want to help novice)

Increase the simulation time in the script, the simulated and theoretical results should converge • Use a pulse shaping filter at the transmitter • At the receiver, precede the discrete-time integrator with a multiplier by a replica of the transmitted pulse to construct a correlator

说明：  免疫克隆算法求函数最优值，人工免疫具有分布式、自学习、自适应、自组织和鲁棒性等特点，具有强大的信息处理和问题求解能力。免疫克隆选择算法是一种受生物免疫系统克隆选择原理启发而设计的新型智能优化算法。它结合了问题的先验知识和生物免疫系统的自适应能力，因而在信息处理方面具有较强的鲁棒性，在搜索过程中能更好地收敛到全局最优解。(Immune clone algorithm to find the optimal value of function)

数据资料是数学模型与实际问题接轨的重要途径和手段，有时还可以直接从数据资料中发现规 律组建模型。数据分析和处理是统计学研究的主要内容，也是计算数学的工作领域，近年来随 着计算机科学的发展，对“海量”数据的分析形成了一门新的交叉学科“数据挖掘”。这一章仅 介绍用统计学的最小二乘法构造拟合数据模型，以及用计算数学的函数插值方法处理数据解决 实际问题。(Is a mathematical model of data integration an important practical problem with the ways and means, and sometimes directly from the data can also be found in the law of the formation model. Statistical data analysis and processing is the main research, but also work areas of computational mathematics, computer science in recent years, along with the development of the " mass" analysis of the data formed a new cross-disciplinary " data mining." This chapter describes only the structure with a statistical method of least squares fit data models, and computational mathematics and data processing function interpolation methods to solve practical problems.)