Spatial-Complex-MIMO-ZF

基于角谱法的压缩全息仿真程序，内含有仿真调用的子程序：前向模型，反向模型，迭代优化等(compressive holography based on the angular spectrum method，including：forward propagating，backpropagating，Twist and so on)

本程序完成topsis多目标单目标化的功能，主要用以多目标的优良等级评定！(This procedure to complete the TOPSIS multi-objective single objective function, mainly used to assess the good grade targets!)

matlab版本 图论中的kruskal算法 一般C版本的比较多，这里提供matlab版本的，更简单方便使用 (Matlab code of kruskal algorithm in graph theory)

该程序是基于matlab/simulink下的扩频调制仿真通过采用PN码来调制信号，实现扩频调制( The program is spread spectrum modulation simulation matlab/simulink based under PN code through the use of modulated signals, spread spectrum modulation)

psk和qpsk的蒙特卡罗仿真，摘自通信系统原理的仿真(QPSK psk and Monte Carlo simulation, taken from Principles of Communication Systems Simulation)

说明：  通过matlab的强大的计算功能，生成由1024点构成的正弦波、三角波、锯齿波，同时在界面显示波形。(Through the calculation of the power of matlab functions to generate points from 1024 constitute the sine wave, triangle wave, sawtooth wave, at the same time show the waveform of the interface.)

说明：  这是一个非常不错的OFDM仿真程序，值得一看，希望大家支持(This is a very good OFDM simulation program, worth a look, hope you will support)

说明：  Matlab实现ASK、BPSK 简练高效的ASK、BPSK的实现代码(Matlab ASK, BPSK concise and efficient ASK, the realization code BPSK)

本毕业设计用Matlab中的建模仿真工具Simulink对通信原理实验进行仿真。作为系列实验的第一部分，包括模拟信号的线性调制解调(AM、DSB、SSB)过程、扰码与解扰实验和低通信号的抽样定理实验。论文中讲述了Matlab的基础知识、Simulink仿真操作方法以及在通信系统中的应用，对被仿真实验的基本原理也进行了简要介绍。 通过本设计对构造通信原理虚拟实验室这一课题进行了初步的探索。(design with the graduation of Matlab Simulink modeling and simulation tools for Progressive Communications principle experiment OK simulation. As the first series of experiments, including a linear analog signal modulation and demodulation (AM, DSB, SSB) process. encryption code and experimental communications, and low sampling theorem experiment. Papers on the basis of Matlab knowledge, Simulink operation and the communication system, the application Simulation experiments on the basic principle was also briefly introduced. Through the design of communication principle structure of the virtual laboratory conducted a preliminary exploration.)

it is one type of Particle Swarm Optimization(PSO). A recently reported successful PSO variant is the comprehensive learning particle swarm optimization (CLPSO) where each dimension of a particle is updated separately by following an exemplar particle relatively fitter in the corresponding dimension