xuanbiliang

把数据从text文件中分离并生成矩阵，同时显示text中的文字(Data from text files and generates separate matrix, while the text display text)

New Bagawan S. Nugroho bit error rate of BPSK modulated LDPC codes under correct AWGN channel, with (1024, 512) codes.

matlab鲸鱼算法工具箱,包含多种无约束测试函数，多种算法进行比较，GUI界面良好，是今年国外学者新提出的仿生智能优化算法(Whale algorithm matlab toolbox contains a variety of unconstrained test functions, a variety of algorithms are compared, a good GUI interface is intelligent bionic year foreign scholars proposed new optimization algorithm)

条件独立的有监督朴素贝叶斯分类算法。参数估计，输入训练集和测试集，得到分类结果和分类准确率(naviebayes)

互相关求时延差的一个程序，通过各种不同方法实现的(Poor cross-correlation order to delay a program through a variety of different methods to achieve)

四相SRM的直接转矩控制的simulink仿真模型，用于减小转矩脉动(DTC for four-phase SRM)

turbo码的MATLAB simulaiton 采用硬输出判定 支持qpsk (turbo codes using MATLAB simulaiton qpsk hard output decision support)

独立成份分析（ＩＣＡ）以及ｗｉｎｎｅｒ滤波 Source separation of complex signals with JADE. Jade performs `Source Separation in the following sense: X is an n x T data matrix assumed modelled as X = A S + N where o A is an unknown n x m matrix with full rank. o S is a m x T data matrix (source signals) with the properties a) for each t, the components of S(:,t) are statistically independent b) for each p, the S(p,:) is the realization of a zero-mean `source signal . c) At most one of these processes has a vanishing 4th-order cumulant. o N is a n x T matrix. It is a realization of a spatially white Gaussian noise, i.e. Cov(X) = sigma*eye(n) with unknown variance sigma. This is probably better than no modeling at all...( Source separation of complex signals with JADE. Jade performs `Source Separation in the following sense: X is an n x T data matrix assumed modelled as X = A S+ N where o A is an unknown n x m matrix with full rank. o S is a m x T data matrix (source signals) with the properties a) for each t, the components of S(:,t) are statistically independent b) for each p, the S(p,:) is the realization of a zero-mean `source signal . c) At most one of these processes has a vanishing 4th-order cumulant. o N is a n x T matrix. It is a realization of a spatially white Gaussian noise, i.e. Cov(X) = sigma*eye(n) with unknown variance sigma. This is probably better than no modeling at all...)

求解任意阶数（大于0）的分数积分，要求输入时间数组和函数值数组(Solving any order (greater than 0) fractional integral, requiring the input time array and the array of function values)

Simple Matlab Script file(m file) for a unit PV cell.