exp1

这本Matlab编程是Stephen J. Chapman的经典作品，本上独特的强调自上而下的编程方法，而且在全书中皆有提醒和注意常犯的错误(This is Stephen J. Chapman Matlab programming classics, this emphasis on the unique top-down programming, but also in the book have the sound alerts and attention to common mistakes)

用VC读写Matlab中数据的例子，为精通Matlab编程一书中附带，可在混合编程时使用，加快开发速度。(VC read and write data in Matlab example of Matlab programming proficient with a book, Programming can be mixed use, and speed up the development pace.)

简单的BPSK误码率仿真曲线，用MATLAB软件，画图很精美(Simple BPSK BER simulation curves, using MATLAB software, drawing a very fine)

E2LSH代码最全面的介绍，里面详尽的介绍了每一个函数的作用(E2LSH code for the most comprehensive introduction, which describes in detail the role of each function)

用turbo-C來編程80188,能boot開機,程式功能為DUCATI機車診斷程式。 (Programmed with a turbo-C 80188, to boot boot program features for DUCATI motorcycle diagnostic program.)

FIR的matlab仿真实现与验证，也是matlab中比较典型的程序(FIR of matlab simulation and verification, but also the more typical procedure matlab )

matlab的源程序码 是众多功能函数的集合(matlab source code is a collection of large number of function)

基本的贝叶斯算法（朴素贝叶斯算法，参照清华大学出版的模式识别）(The basic Bayesian algorithm (Naive Bayes algorithm, in the light of pattern recognition, Tsinghua University Publishing))

基于四叉树与图割的遥感图像分割方法，关于四叉树和图割的应用(Quadtree-based remote sensing image and graph cuts segmentation method, on the quad tree and the application of graph cuts)

一个求解半正定规划的数值算法包，包括 C 语言实现的源代码和 MATLAB 的调用接口。这是目前项目发布的最新版本 6.1.0。(Copyright 1997-2010, Brian Borchers. This copy of CSDP is made available under the Common Public License. See LICENSE for the details of the CPL. CSDP is a software package for solving semidefinite programming problems. The algorithm is a predictor-corrector version of the primal-dual barrier method of Helmberg, Rendl, Vanderbei, and Wolkowicz. This file includes binary code for SDP for Windows. doc documentation. matlab MATLAB/Octave routines for interfacing to CSDP. bin The binary code. Contact/Support: If you are having trouble running the code, see the doc directory first. The project s website can be found at https://projects.coin-or.org/Csdp/ The project s maintainer can be reached by email at borchers@nmt.edu. Please email bug reports and feature requests. )