C4.5

Hidden Markov Model (HMM) Toolbox written by Kevin Murphy A problem of fundamental interest is characterizing such real-world signals in terms of signal models. HMM is referred to as Markov sources or probabilistic functions of Markov chains in the communications literature.

说明：  不用matlab里面的函数，自己写出来的2ASK的仿真程序，加入了白噪声，经过滤波后的波形有些变形，可能是滤波器的原因。仅供参考。(inside Matlab not a function of their 2ASK written by the simulation program, joined the white noise, filtered waveforms after some deformation, the filter may be reasons. For reference purposes only.)

LTE 64QaM 实现，matlab算法(development of LTE 64Qam)

说明：  基于粒子群优化算法的模糊c聚类源码，matlab类型(Fuzzy c-cluster source code based on particle swarm optimization algorithm, matlab type)

EEGLAB的插件，该插件和EEGLAB结合可以根据独立成分的地形分布特征和时域特征去除相应的伪迹(this plug-in is used to reject artifact of EEG, which is achieved through the topographical feature and temporal feature of independent component)

matlab关于有限元分析的书籍。以及仿真实例及分析(matlab books on finite element analysis . Analysis and simulation examples and )

l1 adaptive control tutorial demo2.

MATLAB CODE TO COMPARE TWO IMAGES AND GET BACK THE ORIGINAL IMAGE IN THE RECEIVER END

非常详细且正确的电力潮流计算例程，基于matlab，使用最小化潮流计算方法，以IEEE14节点为例进行计算，支持数据的自行导入导出(Very detailed and correct power flow calculation routines, based on matlab, the use of minimized power flow calculation method to IEEE14 node as an example to support the data into the import and export)

produce figure 4.9 of the book "informatioin theory,inference,and learning algorithm"