BGAR

NT4 component WinDbg source for developer reference

Linear and nonlinear system in simulink

OSPF is important to processing digital signal.

performance evaluation for adative filtering (estimation, equalization, prediction, and cancellation)

参考外国文献，通过MATLAB程序编写了以两个简单的vIBtiJ映射构造一个双混沌互扰 uNACsXn系统,提出了基于双混沌互扰系统的无线加密算法，具有防窃听的能力，调试无错误。(References to foreign literature, through MATLAB programming the vIBtiJ with two simple mapping to construct a mutual interference uNACsXn dual chaotic systems is proposed based on the wireless encryption algorithm dual chaotic mutual interference system has the ability of anti-wiretapping, debugging errors. )

说明：  matlab基于贝叶斯的手写输入数字识别代码(Handwritten input digit recognition code based on Bayesian in MATLAB)

基于bregman算法在一维、二维、三维信号处理中的应用matlab工具箱(This toolbox provides the source code associated with the Bregman Cookbook Doc: - BregmanCookbook.pdf In 1D: -L1_SplitBregmanIteration.m : performs the recovery of a sparse signal affected by a known linear operator In 2D: -AddCurveletArray.m : sum the curvelet coefficients of two decomposition structures -AddFrameletArray.m : sum the framelet coefficients of two decomposition structures -ATV_NB_Deconvolution.m : performs the Nonblind Anisotropic Total Variation Deconvolution -ATV_ROF.m : performs the Anisotropic Total Variation Denoising -ITV_ROF.m : performs the Isotropic Total Variation Denoising -Curvelet_NB_Deconvolution.m : performs the Nonblind Deconvolution based on Curvelet sparsity -Framelet_NB_Deconvolution.m : performs the Nonblind Deconvolution based on Framelet sparsity (Analysis approach) -Framelet_NB_Deconvolution2.m : performs the Nonblind Deconvolution based on Framelet sparsity (Synthesis approach) -ShrinkCurvelet.m : performs the shrinkage of cu)

利用lms自适应滤波器原理，实现波束形成。 波束形成器的零干扰容量随着迭代次数和干扰目标信号比的增大而改善。(Lms adaptive filter using the principle to achieve beamforming. Beamformer with the zero-interference capacity of the number of iterations and the target signal interference ratio increased to improve.)

Regularized Linear Regrassion and Bias v.s. Variance

K means clustering algorithm implementaion, machine learning