M-call-C

Filtering using Weiner filter

application of fuzzy logic in fluid

对各种解耦方式利用SIMULINK进行仿真的源码(Decoupling means the use of a variety of source SIMULINK simulation)

东大版数值分析上机题作业，包含牛顿迭代法、高斯赛德尔迭代法、龙格库塔法等(Southeast University version of 《numerical analysis 》homework ， including the Newton iterative method, high Sisaideer iterative method, Runge-Kutta method)

空间平滑music算法处理阵列信号，可以用于声源定位。(good,very good.)

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.)

对传感器捕捉的火焰图像进行处理，得到温度分布的等值线(Calculation of flame temperature based on image processing )

De Smedt et al 2005, Analytical Solution for transient storage modeling

生成余弦函数分布的条纹图，并且分别储存在四幅图中！(Generate a cosine function distribution of the fringe pattern, and were stored in the four figure!)

用CORDIC算法计算两点距离相当于matlab里的norm函数。经过验证，精度不错(Calculate distance between two points is equivalent to the norm in matlab function with CORDIC algorithm. After verification, the accuracy of a good)