lsqcurvefit

给出了不确定广义系统的鲁棒预测控制仿真程序(Given the uncertainty of the generalized system robust predictive control simulation program)

获取WAV声音文件，转换成数字的两个程序代码。(Get WAV sound files, converted into digital code for the two procedures.)

Implementation of FxLMS algorithm for a single channel feed-forward active noise control system.

matlab多机器人编程设计的程序，采用的是模糊逻辑算法，经检验有较好的效果(matlab robot programming design procedure, using a fuzzy logic algorithm, the test has a good effect)

说明：  GMSK mod and Demod using Simulink

基于扰动观察法的mppt算法，用m函数编写，光伏板接boost电路(The mppt algorithm based on the disturbance observation method is written by the m function, and the photovoltaic board is connected to the boost circuit.)

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. )

通信系统的防真，用matlab编写，ＭＣＢＰＳＫＢＥＲ(communication system simulation by matlab,ＭＣＢＰＳＫＢＥＲ)

dip solution is based on solution of text book of digital signal processing

Convert from LAB to display RGB.