C4_5

DOGMA是一个关于在线学习的工具箱，里面很多算法十分实用，包括OISVM(online independent SVM).(DOGMA is a useful online learning alogrithm by matlab code. It includes a lot of useful alogrithm, including Online independent SVM(OISVM))

it controls the PC parallel port

利用Matlab编程验证协方差法估计信号频率的性能(Validate the use of Matlab programming covariance method to estimate the frequency of performance)

说明：  A complete basic matlab tutorial

该程序建立了格斗空战中本机和目标在进行尾追攻击时的三维态势图。(The program established a three-dimensional figure fighting combat situation in the machine and the target of attacks during the chase.)

说明：  suntton强化学习第三章代码 (The Reinforcement Learning Problem)(The Reinforcement Learning Problem)

说明：  UFMC_OFDM传输 第5 代无线通信系统的关键技术之一，详细细描述了UFMC系统的发送和接收的仿真实现过程(Ufmc OFDM transmission One of the key technologies of the 5th generation wireless communication system, the simulation process of sending and receiving of ufmc system is described in detail)

Constrained MPC Matlab m-file

基于AR模型的burg算法，根据100年间每年12个月记录到的太阳黑子出现次数的平均值求太阳黑子的活动周期。（matlab程序和实验报告）(Burg algorithm based on AR model, according to 100 years, 12 months per year sunspot record to appear and sunspot activity cycle of the average number of times. The (matlab Programs and lab reports))

MUSIC算法是一种基于矩阵特征空间分解的方法。从几何角度讲，信号处理的观测空间可以分解为信号子空间和噪声子空间，显然这两个空间是正交的。信号子空间由阵列接收到的数据协方差矩阵中与信号对应的特征向量组成，噪声子空间则由协方差矩阵中所有最小特征值（噪声方差）对应的特征向量组成。MUSIC算法就是利用这两个互补空间之间的正交特性来估计空间信号的方位。噪声子空间的所有向量被用来构造谱，所有空间方位谱中的峰值位置对应信号的来波方位。MUSIC算法大大提高了测向分辨率，同时适应于任意形状的天线阵列，但是原型MUSIC算法要求来波信号是不相干的。(MUSIC algorithm is a matrix decomposition method based on feature space. From the geometric point of view, the observed spatial signal processing can be decomposed into signal subspace and noise subspace, it is clear that the two spaces are orthogonal. The signal received by the array to the subspace of the covariance matrix of the signal component corresponding eigenvectors, the noise subspace of the covariance matrix of all by the smallest eigenvalue (noise variance) eigenvectors corresponding to the composition. MUSIC algorithm is the use of orthogonal properties between these two complementary space to estimate the spatial orientation of the signal. Noise subspace of all vectors are used to construct the spectrum, all the spatial orientation of the spectrum corresponding to the peak position of the signal wave direction. MUSIC algorithm greatly improves the resolution measurements, while the antenna array adapted to any shape, but the prototype MUSIC algorithm requires to wave sign)