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说明：  ofdm的matalb仿真，用于交流学习(ofdm the matalb simulation, for the exchange of learning)

噪声函数测试集合与matlab代码（包含所有的噪声函数，一篇论文以及相应的matlab代码）(Noise function test set with matlab code (including noise function, the paper and the corresponding matlab code))

vehicle routing withh time windows with genatic algorithms

加州伯克利大学教授的经典著作《动态面控制》，(Dynamic Surface Control of Uncertain Nonlinear Systems )

Image crop in matlab

主要是家庭安全系统的matlab程序，供大家更好的学习和了解家庭安全系统的搭建(Home security systems are mainly matlab program for everyone to build a better understanding of learning and home security systems)

针对非圆信号DOA估计问题,提出了一种基于实值特征值分解 (Eigenvalue decomposition,EVD)的求根MUSIC算法.首先利用非圆信号为实值信号的特点,将阵列上的接收数据及其共轭用欧拉公式转换为实值正弦与 余弦数据,然后将正弦与余弦数据进行串联,从而扩展了数据维数.由于采用实值矩阵的EVD,因此在EVD阶段的运算量简化为复值EVD的1/4.根据 EVD后获得的信号与噪声子空间的特点,对噪声子空间和导向矩阵进行重构以便于可以使用求根MUSIC算法获取对DOA的估计.仿真实验验证了本文算法的 有效性(For the estimation of noncircular signals of DOA, proposes a decomposition value based on real valued features (Eigenvalue decomposition, EVD) the root MUSIC algorithm. Firstly, characteristics of non circular signals for real valued signals, the array data and its conjugate with the Euler formula into real value of sine and cosine and sine and cosine data. The data series, thus expanding the dimension of the data. Because of the use of real valued matrix computation in EVD, so the EVD stage was simplified as a complex valued EVD 1/4. according to the characteristics of signal and noise subspace is obtained after EVD, the noise subspace and orientation matrix reconstruction in order to facilitate the use of DOA can obtain the estimated root MUSIC the algorithm. The simulation results verify the effectiveness of the proposed algorithm)

HHT变换的EMD方法和希尔伯特谱的一些源程序，以及一些实例数据(HHT transform the EMD method and Hilbert spectrum of some of the source, and some examples of data)

说明：  主要是ezw编码过程中的量化器的编写代码，大家可以参考一下。(Encoding process is mainly ezw quantizer in the code, we can refer to.)

一个卡尔曼滤波的程序,模型为单位圆,不含过程噪声,不错的程序(A Kalman filter process, the model for the unit circle, without process noise, good program)