qpskjietiao_zeroLP00

已知信道转移矩阵，通过迭代算法计算信道容量(The channel transfer matrix, through the iterative algorithm to calculate the channel capacity )

GRE Bib book good book for international GRE Preparation

一款利用matlab编写的射线追踪程序，易改易用。(The installation of TTBOX is relatively simple. All you have to do is to create some directories and tell MatLab, where TTBOX is. if it does not already exist, create a directory matlab within your home directory. Copy the TTBOX directory into the matlab directory if it does not already exist, create a file startup.m within the matlab directory Insert the following lines into startup.m: basepath= This should be the path to your home directory! addpath([basepath filesep matlab filesep ttbox ],1) addpath([basepath filesep matlab filesep ttbox filesep support ],1) execute startup within the MatLab command window. MatLab is now ready to execute TTBOX routines. The startup-script will be executed automatically upon start of MatLab. In order to read the online documentation, you have to browse to the doc directory and open the ttbox/doc/ttbox.html file with your web browser (it is recommended to set a bookma)

一个ram例子，可以参考一下，希望能帮到你，请用winrar解压缩打开。(A ram example, you can refer to, I hope you can help, please use winrar to decompress opened.)

Matlab布谷鸟算法优化bp神经网络源程序，已调试，可拿来直接用(BP based on cuckoo algorithm )

太阳能电池模型 艾斯黛拉发生了的附件上附件了释迦佛(Solar cell model艾斯黛拉occurred in an annex to the annex of the Sakyamuni Buddha)

《神经网络理论与Matlab R2007实现》（程序代码）(" Neural network theory and the realization of Matlab R2007" (program code))

说明：  基于Matlab的QPSK算法仿真，包含了算法结构，仿真图形等，仿真了通信过程中的调制过程。(Matlab simulation based on the QPSK method, including the algorithm structure, graphics, simulation, simulation of the communication process in the modulation process.)

matlab的帮组文档，详细，是学习matlab的好材料(matlab' s help set the document in detail, is a good material to learn matlab)

In computer science, particle swarm optimization (PSO) is a computational method that optimizes a problem by iteratively trying to improve a candidate solution with regard to a given measure of quality. PSO optimizes a problem by having a population of candidate solutions, here dubbed particles, and moving these particles around in the search-space according to simple mathematical formulae over the particle s position and velocity. Each particle s movement is influenced by its local best known position but, is also guided toward the best known positions in the search-space, which are updated as better positions are found by other particles. This is expected to move the swarm toward the best solutions.