Simulation2

《工程线性代数》源代码，包含书中每个例子代码，经过调试，版本matlab7.0(" Linear Algebra Project," the source code, including examples of code for each book, after debugging, version matlab7.0)

利用matlab 软件编程的三次样条插值函数(matlab spline)

Additive delay Linear matrix inequality simmulation

心电检测中，是我自己编的毕设程序，有很多代码，包括心电处理的主程序，附程序，相关分析算法，谱分析算法以及各方法之间的对比。(ECG detection is my own series of complete set up procedures, there is a lot of code, including the main program of the ECG processing, the contrast between the attached procedures, correlation analysis algorithm, spectral analysis algorithm and method.)

lssvm辨识系统逆模型 采用最小二乘支持向量机工具箱(lssvm identifine the pozitive model)

流形学习是近年来机器学习及模式识别等领域的一个研究热点，其主要目标是去发现高维观察数据空间的低维光滑流形。自从2000年Roweis和Saul提出LLE算法、Tenenbaum等人提出Isomap算法，特别是Donoho等人发现Isomap算法能够准确发现人脸图像流形潜在的参数空间、张长水等人将LLE算法用于人脸识别并取得了较好的识别效果之后，基于流形学习的人脸识别研究引起了人们的广泛关注。(Manifold learning in recent years the field of machine learning and pattern recognition as a research focus, its main goal is to find high-dimensional data space observation of low-dimensional smooth manifold. Since 2000 LLE algorithm proposed by Roweis and Saul, Tenenbaum and others proposed Isomap algorithm, especially Donoho, who found that Isomap algorithm can find the potential face images of the parameter space manifold, and Chang-water will LLE algorithm for face recognition and to obtain a good recognition results, the manifold learning-based face recognition research has aroused extensive attention.)

wavelet code MATLAB-SPIHT_v1.0_02-12-08

m files for SIAM book, Numerical Computing with MATLAB

Optimization of ackley function by Cuckoo with kmeansToolBox in matlab_coasite.info This code minimizes your cost function, so don t change any part of your code. -------------------------------------------------------------------------------------------------------------------------------------------------------------- *** ​ Cuckoo Optimization Algorithm *** Matlab Toolbox Ver. 1.0.1 *** Ramin Rajabioun, 2011 |

3 Dimension simultaneous localization and mapping (SLAM) problem asks if it is possible for a mobile robot to be placed at an unknown location in an unknown environment and for the robot to incrementally build a consistent map of this environment while simultaneously determining its location within this map