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MATLAB通信工程仿真（机械工业出版社）源代码(MATLAB Simulation of Communication Engineering (Mechanical Industry Press) source code)

在一个OFDM系统中,一大批正交、重叠,狭窄的subcarriers衰落、传递并联,除可用的传输带宽。分离的理论,subcarriers最小，这是一个非常紧凑的频谱利用率。OFDM主要是由于该系统如何处理多路径干扰在接收机。多路径生成 (In an OFDM scheme, a large number of orthogonal, overlapping, narrow band sub-channels or subcarriers, transmitted in parallel, divide the available transmission bandwidth. The separation of the subcarriers is theoretically minimal such that there is a very compact spectral utilization. The attraction of OFDM is mainly due to how the system handles the multipath interference at the receiver. Multipath generates)

is a MATLAB library which contains routines to draw grid lines on MATLAB plots.

自己编写的matlab微粒群算法工具箱。微粒群算法（pso）是一种人工智能算法，速度比遗传算法快一些。(I have written matlab PSO toolbox. Particle swarm optimization (pso) is an artificial intelligence algorithm, the speed faster than the genetic algorithm.)

多天线MIMO技术环境下的系统波束成形检测算法，一共四种算法(System of multi-antenna beamforming MIMO detection algorithm technology environment, a total of four algorithms)

说明：  FAST ICA算法，用于多个信号盲分离，可以参考一下，挺不错的(Fast ICA algorithm, used for blind separation of multiple signals, can refer to, very good)

说明：  求解大规模无约束最小化问题，使用信赖域算法，其中信赖域子问题使用截断共轭梯度法(The trust region algorithm is used to solve the large-scale unconstrained minimization problem, in which the truncated conjugate gradient method is used for the trust region subproblem)

感知器感知器算法训练二元线性分类器。结构体数据使用感知器学习规则 找到给定的二分类标签数据超平面。 (PERCEPTRON Perceptron algorithm to train binary linear classifier. Synopsis: model = perceptron(data) model = perceptron(data,options) model = perceptron(data,options,init_model) Description: model = perceptron(data) uses the Perceptron learning rule to find separating hyperplane from given binary labeled data. model = perceptron(data,options) specifies stopping condition of the algorithm in structure options: .tmax [1x1]... maximal number of iterations. If tmax==-1 then it only returns index (model.last_update) of data vector which should be used by the algorithm for updating the linear rule in the next iteration. model = perceptron(data,options,init_model) specifies initial model which must contain: .W [dim x 1] ... normal vector. .b [1x1] ... bias of hyperplane. .t [1x1] (optional) ... iteration number. Input: data [struct] Labeled (binary) training data. .X [dim x num)

含分布式发电的配电网无功优化论文源程序，里面含有风机和光伏的预测模型程序。(Active/reactive power integrated optimization in distribution networks with distributed generation)

入门omnet++,omnet++仿真实验，欢迎大家一起交流。(It is very useful for student who study omnet++.)