Program-appendix

说明：  盲均衡中的应用，CMA+DDLMS（常数模+判决引导最小均方）算法的Matlab程序，用来处理16-QAM信号。(Application of blind equalization, CMA+ DDLMS (Constant Modulus+ Decision-directed least mean square) algorithm of Matlab procedures used to deal with 16-QAM signal.)

说明：  w-w1各教徒和w1个非教徒在海上遇险，必须将一半的人投到海中，其余的人才能幸免，于是想了个办法w人围成一圈从第一人开始报数，数到第w2个就将其人丢入海中，又从下个人数，数到第w2个人又丢入海中，依次循环，怎样排才使投入大海的都是非教徒(w-w1 and w1 of all non-believers believers in distress at sea, half of them must be invested in the sea, the others can be spared, so think of one way to w people form a circle from the first people began to count off a few to the first w2 one would be thrown into the sea of its people, and from under the personal number, the number of individuals to the first w2 then thrown into the sea, followed by recycling, how to make it into the sea row are non-believers)

自编的一些小波源程序,用MATLAB编的.希望对那些喜欢小波的人有所帮助.去解压密码,请放心使用(wrote some of wavelet source, MATLAB series. hope for those who like wavelet help. to extract passwords, please rest assured that the use of)

OFDM qpsk,16qam and 64 qam code

In this demo, I use the EM algorithm with a Rauch-Tung-Striebel smoother and an M step, which I ve recently derived, to train a two-layer perceptron, so as to classify medical data (kindly provided by Steve Roberts and Will Penny from EE, Imperial College). The data and simulations are described in: Nando de Freitas, Mahesan Niranjan and Andrew Gee Nonlinear State Space Estimation with Neural Networks and the EM algorithm After downloading the file, type "tar -xf EMdemo.tar" to uncompress it. This creates the directory EMdemo containing the required m files. Go to this directory, load matlab5 and type "EMtremor". The figures will then show you the simulation results, including ROC curves, likelihood plots, decision boundaries with error bars, etc. WARNING: Do make sure that you monitor the log-likelihood and check that it is increasing. Due to numerical errors, it might show glitches for some data sets. (In this demo, I use the EM algorithm with a Rauch-Tung-Striebel smoother and an M step, which I ve recently derived, to train a two-layer perceptron, so as to classify medical data (kindly provided by Steve Roberts and Will Penny from EE, Imperial College). The data and simulations are described in: Nando de Freitas, Mahesan Niranjan and Andrew Gee Nonlinear State Space Estimation with Neural Networks and the EM algorithm After downloading the file, type "tar-xf EMdemo.tar" to uncompress it. This creates the directory EMdemo containing the required m files. Go to this directory, load matlab5 and type "EMtremor". The figures will then show you the simulation results, including ROC curves, likelihood plots, decision boundaries with error bars, etc. WARNING: Do make sure that you monitor the log-likelihood and check that it is increasing. Due to numerical errors, it might show glitches for some data sets. )

z-source inverter simulink model

永磁无刷电机MATLAB仿真模型，验证成功(Permanent magnet brushless motor MATLAB simulation model proved to be successful)

梯度采样算法，用于梯度采样计算，matlab下编码实现(A ROBUST GRADIENT SAMPLING ALGORITHM FOR NONSMOOTH, NONCONVEX OPTIMIZATION)

对序列进行李亚普诺夫指数的运算，判断初始序列何时进入混沌状态(Lyapunov exponent of the sequence of operations, to determine when to enter the chaotic state of the initial sequence)

多维数据的多维偏最小二乘法的数据拟合方法，能有效地建立各类共线性数据的模型。()