Comm_sim

基于matlab,采用SVD方法，对数据进行EOF分解，求得基函数(Based on matlab, using SVD method, the data EOF decomposition, obtained basis functions)

说明：  小波变换的条件限制的实现的编程，可以更好设计优化问题(wavelet transform constraints on the realization of the program, we can better design optimization problems)

CR [1] is a promising solution to the problem of spectrum scarcity in wireless communications. The basic idea of CR is to allow secondary (unlicensed) users (SUs) to opportunistically utilize the spectrum of PUs (licensed), provided that the SU transmission do not harmfully affect the PUs. In this paper, we focus on the underlay CR approach, where the SUs access the spectrum occupied by the PUs, given that the interference they cause to the PUs is less than a certain threshold such that the Quality-of-Service (QoS) of the PUs can be ensured

基于最小均方误差的最小二乘滤波器的设计算法(Based on the minimum mean square error of the least squares filter design algorithms)

Localization in wireless sensor networks is the process of determining the geographical positions of sensors. Only some of the sensors (anchors) in the networks have prior knowledge about their geographical positions. Localization algorithms use the location information of anchors and estimates of distances between neighbouring nodes to determine the positions of the rest of the sensors.

应用独立分量分析方法对图片进行图像分离处理，可以将医学影像的图片进行分离，单独进行分析。(Independent component analysis of images for image separation processing, medical imaging picture can be separated, analyzed separately.)

简单的matlabheed算法，适用于初学者(Simple matlabheed algorithm, it is suitable for beginners)

This is an PPT about Artificial Neural Network and Genetic Algorithm .

该报告详细讲述了优化算法的原理，数学模型，实现方法，对于PSO的初学者将会大有裨益。(The report describes in detail the principle of optimization, mathematical models, implementation methods, for the PSO will be of great benefit to the beginner.)

说明：  利用粒子位置和速度的改变更新，在熟悉多目标粒子群算法的基础上利用测试函数对该算法进行仿真，并对仿真结果进行优化。(The particle position and velocity changes update in the familiar multi-objective particle swarm optimization based on the use of test functions to simulate the algorithm, and the optimization of simulation results.)