postdoctor-research-report

Mahafza B.R, Elsherbeni A.Z. - MATLAB Simulations for Radar Systems Design - 2004 对于雷达系统设计师来说这是一本难得的宝典(Mahafza BR, Elsherbeni AZ- MATLAB Simulations for Radar Systems Design- 2004 for the radar system designer, this is a rare book)

用GUI做的一个混响音频处理界面，还有均衡器可以设置，单个功能函数也在里面(GUI to do with a reverb audio processing interface, as well as equalizer settings, a single performance function is also inside)

matlab源代码，实现红外图像的非均匀性校正，代码经试验无错误(Infrared image non-uniformity correction)

MathWorks Learn Matlab 7.0(MathWorks Matlab 7.0)

EM算法在神经网络中的应用，可以用来进行视频数据分类。(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.)

基于mathematica的数学微分实验书籍，包括mathematica的基本教程和实验源码(Basic tutorials and source-based experimental math mathematica differential experiment books, including the mathematica)

通信系统lte发展中慢（阴影）衰落仿真模型，只需要输入几个参数(Lte the development of communication system simulation model of slow fading, just enter a few parameters)

色散介质的FDTD仿真计算，一维辅助微分方法(FDTD )

Patton Coupla 工具包，包含常见的时变和非时变Copula代码(Patton Coupla Toolbox)

基于谱聚类的新数据聚类算法，可用于一般的时间序列数据聚类及图像分割方面的应用，还包含相应的文章和算法说明。(Executes the spectral clustering algorithm defined by type on the adjacency matrix W and returns the k cluster indicator vectors as columns in C.)