eq-article

稀疏阵的方向图仿真，给出了不同条件下的稀疏阵列的方向图(This is the simulate about sparse array ,different conditions have been taken into account )

实现2d-DOA 算法的仿真，实验结果以均方误差的形式绘制图表(The simulation of 2d-DOA algorithm is implemented, and the experimental results are plotted in the form of mean square error)

说明：  用Reinhard算法实现了图像之间色彩的迁移，程序为Reinhard.m；并对该算法进行了改进，程序为Reinhard improved.m(color transfer using Reinhard method.)

MPSK_QAM，MPASK下的QAM调制方式，供参考(MPSK_QAM, QAM modulation MPASK under reference)

水声声纳线阵频域自适应波束形成。波束自动适应线阵。是MALTLAB水声编程的重要学习方向。(Underwater acoustic sonar linear frequency domain adaptive beamforming.The beam automatically adapt to the linear array.Programming learning MATLAB underwater acoustic direction.)

Integrating m-files functions and algorithms in C++ applications

用MATLABF仿真FP腔的传输特性，包括损耗，折射率以及半径对传输特性的影响(FP transmission based on MATLAB)

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. )

用music算法经行波达方向（DOA）估计的matlab 仿真程序(With music by the line algorithm DOA (DOA) estimation matlab simulation program)

code adaptivehuffman