dcg.m

说明：  EKF仅仅利用了非线性函数Taylor展开式的一阶偏导部分（忽略高阶项），常常导致在状态的后验分布的估计上产生较大的误差，影响滤波算法的性能，从而影响整个跟踪系统的性能。最近，在自适应滤波领域又出现了新的算法——无味变换Kalman滤波器（Unscented Kalman Filter-UKF）。UKF的思想不同于EKF滤波，它通过设计少量的σ点，由σ点经由非线性函数的传播，计算出随机向量一、二阶统计特性的传播。因此它比EKF滤波能更好地迫近状态方程的非线性特性，从而比EKF滤波具有更高的估计精度。 (EKF only uses non-linear function of the first-order Taylor expansion of some partial derivatives (ignoring higher order terms), often leading to the posterior distribution of the state estimates to generate large errors affect the performance of filtering algorithms, which affect the whole tracking system performance. Recently, the field of adaptive filtering algorithms and the emergence of new- and tasteless transform Kalman filter (Unscented Kalman Filter-UKF). EKF UKF filter is different from the idea that it points through the design of a small amount of σ by σ point spread through the nonlinear function to calculate the random vector first and second order statistical properties of the transmission. Therefore it is better than the EKF filter nonlinear characteristics equation of state approach, which is more than the EKF filter estimation accuracy.)

QPSK的基本结构原理与噪声下的SNR,这是最基本的方式(qpsk，basic construction and noise)

说明：  100个MATLAB程序，涉及数值分析、图形处理、界面设计、图形应用，稍加修改，即可套用。(100 MATLAB programs, involving numerical analysis, graphics, interface design, graphics, slightly modified, can be applied.)

有限元反馈仿真, 适用于图像处理, 通信系统(limited feedback simulation)

简化洛伦兹系统的同步方法编程，具有可通用性，简单易学(Simplify the programming of synchronization of Lorenz system has can be versatile, easy to learn)

灰度图像的二维Otsu自动阈值分割法 matlab源程序(Two-dimensional gray image Otsu automatic thresholding method)

內有Directional以及Derivative Constraints的形式，讓LCMV和LPMV 能夠更精準估測出其JAMMER之位置(There are Directional and Derivative Constraints in the form, so that LCMV and LPMV to more accurately estimate the location out of their JAMMER)

matlab code for scale data of any type. nokia c7 manual included.

图像处理经典算法，基于PCA的人脸识别matlab代码(Matlab code of face recognition based on PCA)

1）在Matlab 环境下读取太阳黑子数目序列，并绘制其时域波形； 2）采用离散时间卷积计算方法对太阳黑子数据序列进行滑动平均滤波（窗口宽度 分别为5 和13），并绘制出滤波后的波形； 3）对太阳黑子数据进行离散时间傅里叶变换，通过求幅度谱最大值方法估计太阳 黑子的周期；(Convolution calculation of sunspot periodic data for sliding filtering)