Flow-chart

《最优阵列处理》一书第七章的MATLAB例程，包括各种自适应波束形成算法。(" Best array processing," a book chapter VII of the routine, mainly adaptive beamforming algorithm.)

动态规划算法的顺序（前向求最小值）算法的matlab实现以及一个算例，还有一篇参考pdf文献，适合初学者，有我个人的一点注释(Dynamic programming algorithm for the sequence (prior to seeking the minimum value) algorithm matlab to achieve, as well as a numerical example, there is a reference pdf document, suitable for beginners, there are my personal notes that)

采用symmetrized split-step method数值求解非线性薛定谔方程(Numerical solution of nonlinear Schrodinger equation by symmetrized split-step method)

说明：  用matlab做的车牌识别的程序，能运行，效果还不错！(License plate recognition using matlab to do the procedure can run, results were pretty good!)

Bit error rate of MRC

仿真ludi yidong wei xing tongx xindao Abdi模型(simulating Abdi model)

BLDC Motor driver position and speed control. command through .m file

说明：  K-SVD算法程序，利用聚类算法对字典进行训练(K-SVD algorithm program, the use of clustering algorithm is trained on a dictionary)

说明：  超宽带无线电信号码元simulink仿真(Ultra-wideband wireless telecommunications numbers per simulink simulation)

Abstract There are a number of interesting variable selection methods available beside the regular forward selection and stepwise selection methods. Such approaches include LASSO (Least Absolute Shrinkage and Selection Operator), least angle regression (LARS) and elastic net (LARS-EN) regression. There also exists a method for calculating principal components with sparse loadings. This software package contains Matlab implementations of these functions. The standard implementations of these functions are available as add-on packages in S-Plus and R. Keywords LASSO, LARS, SPCA, Matlab, Elastic Net, Sparse, Sparsity, Variable selection