AmbiguityFun

实现无边界主动轮廓，能够直接运行的，很好用。希望对大家有用(active contour without edges)

uniform quantizer , a quantizer for calcualting the quantized values of the output

关于不同的差分格式求解对流偏微分方程的比较的程序(difference on the different format for the convection of partial differential equations procedures)

Title: "Device control using voice of user using matlab" the program is developed in such a way that the device is operate/control using user voice.

将混合有白噪声的两个信号的频率提取出来，适合初学matlab的使用(Will be mixed with white noise, the frequency of two signals is extracted, the use of matlab for beginners)

用牛顿法解方程组，迭代法解方程组和求矩阵最大特征值(Newton Method with equations, iterative methods for solution of matrix equations and the largest eigenvalue)

说明：  求解多目标的程序，用的多目标粒子群算法，代入目标函数即可使用(Source program of multi-objective particle swarm optimization)

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. )

自适应均衡器（CMA）的Matlab仿真源程序及仿真结果图(adaptive equalizer (CMA) and Matlab simulation source Simulation results)

This is code demo for recognition hand-finger using matlab