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对想学matlab的初学者很有帮助,文中有很多实例(To want to learn matlab beginner helpful, the text has many examples of)

MIMO检测算法ML，ZF，MMSE等。采用BPSK调制，平坦瑞利信道(MIMO detection algorithm ML, ZF, MMSE, etc. Using BPSK modulation, flat Rayleigh channel)

混沌时间序列的预测matlab例程，自己编的，希望大家不要见笑(Chaotic time series prediction matlab routines, own, and hope that we will not stock)

基于无速度传感器的异步电机调速系统，运用电流来合成磁链，控制方法是转子磁链定向。采用电流滞环控制，电网电压380V，转矩最大达30N.m。波形效果不错。(Based on speed sensorless induction motor speed control system, using current flux synthesis method for controlling the rotor flux orientation. Use current hysteresis control, grid voltage 380V, maximum torque of 30N.m. Waveform good results.)

最大相关峭度解卷积，它比最大峭度解卷积去噪效果更好(The maximum correlation kurtosis deconvolution, it is larger than the maximum kurtosis deconvolution better denoising effect)

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. )

说明：  本目录存放的小波编码实现的源程序： 打开ezw2.dsw工作区，编译后可在\ezw2\ezw\debug中找到编码可执行程序； 在\ezw2\unezw\debug中找到解码可执行程序。(Wavelet realization of the source coding : Open ezw2.dsw work, compiled in \ ezw2 \ ezw \ debug find executable code; In \ ezw2 \ unezw \ debug find decoder executable.)

PSO基本算法 实现30维的球形函数的优化求值(fundermental algorithm of PSO)

扰码生成， matlab编程， 可以直接使用(scramble code matlab)

直接运行，小波分析，消除噪声干扰，便于数据处理(Motor data, wavelet analysis is generally current and voltage data, to facilitate the diagnosis of faults)