ldpc

说明：  用matlab开发的一个简单的预测双色球源码(Using matlab to develop a simple prediction Loans Source)

Matlab人工智能学习包，由世界领先的德国马普所制作(The spider is intended to be a complete object orientated environment for machine learning in Matlab. Aside from easy use of base learning algorithms, algorithms can be plugged together and can be compared with, e.g model selection, statistical tests and visual plots. This gives all the power of objects (reusability, plug together, share code) but also all the power of Matlab for machine learning research.)

对声音信号进行处理的matlab仿真，可以用于水声信号(Right audio signal processing matlab simulation can be used for underwater acoustic signal)

用matlab编的gauss算法,希望多大家有帮助(Matlab code for gauss algorithm with)

本书从MATLAB仿真角度系统地介绍了滑模变结构控制的基本理论、基本方法和应用技术，是作者多年来从事控制系统教学和科研工作的结晶，同时融入了国内外同行近年来所取得的新成果。 全书共分10章，包括滑模变结构控制发展综述、连续时间系统滑模控制、离散时间系统滑模控制、模糊滑模控制、神经滑模控制、基于反演设计的滑模控制、动态滑模控制、基于干扰估计的滑模控制、Terminal滑模控制以及几种新型滑模控制。 每种控制方法都通过MATLAB仿真程序进行了仿真分析。 ( Book from the MATLAB simulation Jiaodu a systematic introduction to the basic sliding mode control theory, the basic method and application of technology, is the author control systems for many years engaged in teaching and research work of the crystal, and into the domestic and foreign counterparts in recent years made new results. The book is divided into 10 chapters, including the development of sliding mode control synthesis of continuous-time sliding mode control systems, discrete-time sliding mode control systems, fuzzy sliding mode control, neural sliding mode control, sliding mode control design based on inverse dynamic slip mode control, sliding mode control based on interference estimation, Terminal sliding mode control, and several new types of sliding mode control. Each control methods are carried out by MATLAB simulation program simulation.)

3*4 OSTBC最大似然检测 16QAM调制信号，可用(coherent ML detection for blind ML problem with 64-QAM signaling)

PLS and PCA algorithms tool

数学模型中最速下降法matlab程序(包括算法)(The mathematical model of the steepest descent method procedures (including algorithms))

利用matlab读取libsvm的工具包，实现数据的自动分类。压缩包里有训练文件及测试文件。(Read libsvm using matlab toolkit, automatic classification of data. Compression bag has training documents and test files.)

基于最小二乘法和相关系数法的系统辨识方法(Based on the least squares method and correlation coefficient law system identification methods)