liftingdemo

简单电力系统的牛顿法潮流计算收敛初步分析程序(preliminary study a simple system’s convergent character of the Newton s law applied to calculate the flow.)

说明：  matlab教程，以网页的形式，比较简单、实例很充分，适合与初学。可以看看。(matlab tutorial to the page the form of relatively simple, examples of very good, suitable with the beginners. Can look at.)

一种改进的MUSIC算法，对初学者有用，教学实验(it is a experment for a improved MUSIC, maybe helpful for the learners)

read from sp3 rinex in matlab

实现利用matlab软件对指纹灰度图像作归一化处理，效果还可以。(Matlab software to achieve the use of gray-scale image of the fingerprint for the normalized results can also be.)

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.)

编写一个函数，它将从由lookup和install维护的表中删除一个变量名 及其定义。(Write a function that will remove a variable name the lookup table and install maintenance Their definitions.)

说明：  边界链码求结节形态的几何特征 matlab(Boundary chain code requirements geometric form nodules matlab)

工业图像处理软件，但没有数据库，具体操作说明见(Industry image processing software, but there is no database, see the specific operation instructions)

自己刚开始接触混沌方面，自己编写的一个利用Matlab画混沌系统的混沌吸引子的M程序，希望对哪些刚开始学习混沌的学者有所帮助。(Chaos has just started their own contacts, the preparation of their own paintings of a chaotic system using Matlab chaotic attractor of the M program, in the hope that what has just started to learn the academics of chaos help.)