Blob-Code

一个matlab程序关于在2D上的任意三角地区的稳定不可压缩的Stokes方程的有限元方法 (a program which applies the finite element method for the steady incompressible Stokes equations on an arbitrary triangulated region in 2D )

风轮仿真分析以及程序，内有使用说明及相关问题表述(Wind Turbine Blockset)

包括银行ATM机的离散时间动态系统的建模仿真，蒙特卡洛方法求π，军备竞赛问题仿真等，均包括问题的分析，源程序，结果分析等(Including bank ATM machine of discrete-time dynamic system modeling and simulation, the Monte Carlo method for π, the arms race simulation, including the analysis of the problem, source, results analysis)

说明：  LMS (Least Mean Squares): most basic canonical ANC algo FxLMS (Filtered eXtended Least Mean Squares): adds an additional learned filter for the secondary path signal - signal from cancellation speakers to users ears - to account for phase problems and audio coloration added during practical noise cancellation applications NLMS (Normalized Least Mean Squares): adds simple adaptively updated learning rate on top of LMS to speed convergence. FxNLMS (Normalized Filtered eXtended Least Mean Squares): combines FxLMS and NLMS FuNLMS (Filtered-u Last Mean Squares): adds an additional active LMS filter to FxNLMS to cancel out noise bleeding from the cancellation speaker to the error mic. Fairly robust but convergence not gaurunteed!

说明：  MATLAB 数值计算 入门 源码 &sup2 introduction to MATLAB &sup2 linear equations &sup2 interpolation &sup2 zero &macr nding &sup2 least squares &sup2 quadrature &sup2 ordinary di&reg erential equations &sup2 random numbers &sup2 Fourier analysis &sup2 eigenvalues and singular values &sup2 partial di&reg erential equations(Numerical Computing with MATLAB)

说明：  贝叶斯压缩感知 用于稀疏信号重建，基于贝叶斯理论(Adaptive compressive sensing, Bayesian model selection, compressive sensing (CS), experimental design, relevance vector machine (RVM), sparse Bayesian learning.)

求零点、极点和增益，这是一些已经调好的实例，还有运行后的结果。(For zero, poles and gain, this is some have adjustable good examples, and after the operation result. )

K-means algorithm for gray-scale images. Implemented on MATLAB for segmentation.

图像的2D—3D转化，有分割，区域标记，深度分配三部分。(image 2D to 3D include 3 parts,divid ,mark and depth.)

this is the chenvese programme which can help to do the segmentation