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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.)

CVSD（连续可变斜率增量调制）的编解码实现及调试。(CVSD realization, continuously variable slope delta modulator.)

使用MAtlab编程，可以播放卡农的钢琴曲。(MATLAB programming, you can play the Canon piano.)

龙格库塔算法,微分方程组求解，用matlab语言编写。(Runge-Kutta algorithm, the differential equations solved using matlab language.)

信号数目估计错误的最大似然波达方向估计的性能分析(The number of signal estimation error of maximum likelihood DOA estimation performance analysis)

seismic moment calculation

蒙特卡洛源程序，可以运行，图像还不错的。值得一看。(Monte Carlo source, can run pretty good picture. Worth a visit.)

基于matlab编程的卡尔曼滤波数值模仿真(Kalman filter values ??based on matlab programming mimic true)

这是一个超指数迭代均衡算法程序，经测试可以运行(This is a super exponential Iterative Equalization Algorithm procedures, have been tested and can run)

Matlab编写的EOF分析的代码，气象水文海洋专用(Prepared by the EOF analysis of Matlab code, exclusive of marine meteorological and hydrological)