DVR

matlab中vstoolbox_R13的详解，及其建立的IBVS模型，提供一些简单例程。(matlab in the Detailed vstoolbox_R13, and the establishment of the IBVS model to provide some simple routines. )

bpsk 调制解调　该仿真程序是BPSK在AWGN信道下的调制解调性能验证实例(bpsk modulation and demodulation of the simulation program is BPSK AWGN channel in the modulation and demodulation performance verification Examples)

通过小车机器模型，检测路标，比较扩展卡尔曼滤波在slam中的应用(The application of extended Kalman filter in slam by car model, detection of landmarks)

粒子滤波与EKF程序，改程序可对两种方法处理结果进行比较(Particle filter and the EKF procedure can change the program to compare the results of two methods)

说明：  无线通信系统中BCCH在发送端与接收端的处理过程，有注释(Wireless communication systems BCCH transmitter and receiver in the treatment process, and notes)

MATLAB与通信仿真 超星电子书 国防工业出版社 作者：刘敏(MATLAB simulation and communications e-book National Defense Industry Press Chaoxing Author: Liu Min)

灰色预测模型称为CM模型，G为grey的第一个字母，M为model的第一个字母。GM（1，1）表示一阶的，一个变量的微分方程型预测模型。GM（1，1）是一阶单序列的线性动态模型，主要用于时间序列预测。 一、GM（1，1）建模 设有数列 共有 个观察值 对 作累加生成，得到新的数列 ，其元素 （5-1） 有： 对数列 ，可建立预测模型的白化形式方程， （5-2） 式中： ——为待估计参数。分别称为发展灰数和内生控制灰数。设 为待估计参数向量 则 按最小二乘法求解， 有： （5-3） 式中： （5-4） （5-5） 将（5-3）式求得的 代入（5-2）式，并解微分方程，有 （1，1）预测模型为： （5-6）(gray forecasting model called CM model, the G-gray of a letter, the M model for the first letter. GM (1,1), a band of a variable type of differential equation models. GM (1,1) is a sequence of single-band linear dynamic model, mainly for time series prediction. A GM (1,1) model series with a total value of observation for the cumulative production, to a new series of its elements (5-1) : The series, we can establish the prediction model albino form of equation (5-2) where :-- to question the estimated parameters. The development will be known as the gray and hygiene control within a few gray. Set parameters to be estimated according to Vector least squares method, are : (5-3) where : (5-4) (5-5) (5-3) that obtained in lieu of income (5-2)- and solutions differential equations, (1 1) Fore)

说明：  A class for efficient manipulation of N-fold Kronecker products in terms of its operands only

说明：  阵列信号到达角经典算法，多重信号分类算法的源程序(the matlab program ,music )

在试验中编写程序实现了K均值聚类算法,K均值聚类的原理是：在训练样本中找到C个聚类中心，每个聚类中心代表一个类的中心。然后将样本归类到与其最近的聚类中心的那一类。 C的选择是通过先验知识或经验选取的。聚类中心是通过算法迭代求得的。(In the test preparation process to achieve a K means clustering algorithm, K means clustering principle is: in the training samples to find C a cluster center, each cluster center represents a kind of center. Then the samples are classified to the nearest cluster center with the type. C' s choice is a priori knowledge or experience through the selected. Cluster center is obtained through the iterative algorithm.)