SoFDTD

机器学习中关于朴素贝叶斯（NB）方法的Matlab源代码，附带四个数据集用于实验(Machine Learning on Bayesian (NB) method of Matlab source code, with four data sets for experiments)

仿真采用QPSK和16-QAM调制时，接收机采用理想信道估计和利用训练符号进行信道估计的误比特率性能(The simulation using QPSK and 16-QAM modulation, receiver with perfect channel estimation and using training symbols for the bit error rate performance of the channel estimation)

精通GUI图形界面编程--施晓红.周佳--北京大学出版社--2003.1(Proficient in GUI graphical interface programming- Shi Xiaohong Zhou Jia- University Press- 2003.1)

凸优化程序，包络一些常用的一维搜索方法，二维优化方法，非常适用于初学者学习(Convex optimization program, envelope some common one-dimensional search methods, two-dimensional optimization method, very suitable for beginners to learn)

本程序包采用matlab编写的几种数值计算中经典的解方程组的算法，包括LU分解、Gauss消元法、Jacobi迭代法、以及Guass-Seidel迭代法的源代码。供大家参考。(This package prepared using matlab several numerical solution of equations of classical algorithms, including LU decomposition, Gauss elimination method, Jacobi iteration, and Guass-Seidel iteration method source code. For your reference.)

Support vector machine is a machine learning method that is widely used for data analyzing and pattern recognizing. The algorithm was invented by Vladimir Vapnik and the current standard incarnation was proposed by Corinna Cortes and Vladimir Vapnik. This application note is to helping understand the concept of support vector machine and how to build a simple support vector machine using Matlab

介绍了matlab的一些案例 并介绍了相关的一些函数的用法 (introduce some matlab cases and the use of some function)

IEEE TRANSACTIONS ON SIGNAL PROCESSING定位与跟踪经典文献“Source Localization Using TDOA and FDOA Measurements in the Presence of Receiver Location Errors: Analysis and Solution”的Matlab程序。进行信号源被动定位与跟踪研究的童鞋可下载进行学习研究。(IEEE TRANSACTIONS ON SIGNAL PROCESSING positioning and tracking classic literature " Source Localization Using TDOA and FDOA Measurements in the Presence of Receiver Location Errors: Analysis and Solution" in Matlab.)

说明：  将机器学习分类的结果生成混淆矩阵，并画出混淆矩阵。。。。。。。。(generating confusion matrix and draw it)

压缩感知方面的17篇综述性文件Rice大学(review of compression sensing 17)