linear-discrimination-function

在用matlab做语音信号处理时经常用到的enframe等函数，这在matlab中是没有的，需要下载专门的工具箱，这是从官网上下载的，可直接解压安装。具体安装方法网上一搜就能搜到。(Frequently used in speech signal processing using matlab enframe function in matlab there is no need to download a special toolbox, which is downloadable from the official website, you can directly extract the installation. Specific installation methods online search can be found to)

《Learning Perl Objects References And Modules》英文版，详细介绍了perl语言中的对象引用和模块，是一本深入了解perl语言的好书。("Learning Perl Objects References And Mod ules, "the English version, detailing the perl language and the object reference module, is a deeper understanding of the perl language books.)

有k_means和em算法,k_means算法用来减少结点数目(There k_means and em algorithms, Reduce the number of data points using the k-means algorithm )

This e-book could help you to understand how Matlab works.

tA scheme of format conversion optical 16-ary quadrature amplitude modulation (16QAM) toquadrature phase shift keying (QPSK) signal based on cascaded four-wave mixing (FWM) in semiconduc-tor optical amplifiers (SOAs) is proposed. Theoretical analysis and simulations of the format conversionscheme are conducted to validate the feasibility of the proposal. In this proposal, the phase conjugatedof 16QAM signal is generated after the first FWM process in an SOA, and then the QPSK signal is con-verted due to the second non-degenerate FWM (ND-FWM) process in another SOA. The performance andthe optimal design of the 10 Gbit/s format conversion system under various key parameters of SOAs are uated and discussed. Simulation results present useful to enable interconnection between backbonenetwork and access network.

K-Means聚类算法 Matlab代码(K-Means clustering algorithm Matlab code)

The REMUS simulator program was written using MATLAB. The first program, REMUSSIM.m,loads the vehicle initial conditions and tracks the vehicle state. The second program, REMUS.m,calculates the new vehicle accelerations based on the vehicle state and control inputs.

各种分类器的源码，有注释和功能描述,马氏，贝叶斯，最大似然等(Various classifier source, there are notes and functional description)

an adaptive quite general fast multipole method in 2 dimensions with a nice Matlab-interface.

可以实现粗糙集的整个算法，从上下近似、属性约简、属性重要度到决策规则的输出和规则的确定性因子，全部实现。内附测试数据，有详细的注解，可以实现与数据库的直接连接。(Rough set can be achieved throughout the algorithm, from top to bottom approximation, attribute reduction, attribute importance to the uncertainty factor output of decision rules and regulations, all to achieve. Enclosing the test data, detailed notes, can be achieved with a direct connection to the database.)