1234

PAPR reduction in OFDM systems

说明：  matlab编写的相同要求时提某列取大小值。(Matlab prepared by the same requirements when a series from a size value.)

PCA是基于原始数据空间，通过构造一组新的潜隐变量来降低原始数据空间的维数。(PCA is based on the original data space, by constructing a new set of latent variables to reduce the dimension of the original data space.)

用matlab写的单模光纤的LP01模场分布仿真(LP01 mode field distribution simulation matlab write single-mode fiber)

Two days course: Day 1 Part 2 Cartography Introduction

使用下面的参数设计信道均衡器，其中使用两个独立的随机数发生器，一个用x(n)来表示，用来测试信道；另一个用v(n)来表示，用来模拟接收器中的加性白噪声的影响。序列x(n)是x(n)=±1的伯努利序列，随机变量x(n)具有零均值和单位方差。第二个序列v(n)具有零均值，其方差由信噪比决定。均衡器有11个抽头。(Use the following parameter design of channel equalizer, which uses two separate random number generator, one with x (n) to indicate, to test the channel the other with v (n) to indicate to simulate the receiver in The additive white noise. Sequence x (n) is x (n) = ± 1 of the Bernoulli sequence of random variable x (n) with zero mean and unit variance. The second sequence v (n) has zero mean, its variance decision by the signal to noise ratio. There are 11-tap equalizer.)

说明：  电力系统潮流上机程序，已知线路结构，pq节点，pv节点和平衡节点，求各点的未知量。(Power System Power program, known line structure, pq node, pv nodes and balancing node, find the unknown amount of points.)

这是我参加12年美国数学建模大赛，关于Camping along the Big Long Rive这个问题的一些代码，虽然不算很好吧，但是有些结果还是不错的(I attended 12 years of the American Mathematical Modeling Contest, Camping along the Big Long Rive problem code, although it is not very good, but some results are still good)

how to use BSP developer guide

机器学习和模式识别工具包spider。内容很丰富。包含svm 决策树（C45,J48）、svm、knn、adaboost、bagging、hmm（隐马尔科夫模型）、随机树（random forest）等(Machine learning and pattern recognition toolkit spider. Very rich in contents. Tree contains svm (C45, J48), svm, knn, adaboost, bagging, hmm (hidden Markov model), random trees (random forest), etc.)