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基于四阶累积量的联合对角化，其中给出两种四阶累积量计算方法，方便理解。这个算法还是比较难的，可以参看下独立分量分析中的jade算法(Fourth-order cumulant-based joint diagonalization, which gives two fourth-order cumulant method, easy to understand. This algorithm is quite difficult, you can see under the jade independent component analysis algorithm)

dc motor close loop control. control a const speed of 200 rad per sec, usind ode23 function for solving the diff.eq

FOR HELP AND DOCUMENT FOR POWER

对一段wav文件读取，并做简单的降噪处理，其中包含了高通滤波器的设计。适合新手(Wav file on a read and do simple noise reduction, which contains a high-pass filter design. For novice)

干扰观测器的，即DOB实现，提供详细的matlab代码。(Disturbance Observer.)

岭回归分析（Ridge regression）是一种专用于共线性数据分析的有偏估计回归方法，这套源码是对ridge regression算法的一种实现，附有测试实例(Ridge regression (Ridge regression) is a special collinearity data analysis unbiased estimate of the regression method, this set of source code is an implementation of the ridge regression algorithm with test case)

对于一个含有明显噪声的心电信号进行卡尔曼滤波处理，最大程度地 “还原”信号，达到去除噪声的目的。卡尔曼滤波（看成维纳滤波的一种实现方法）的特点如下： a) 是根据上一状态的估计值X(n-1)和当前状态的观测值Z(n)推出当前状态的估计值X(n)的滤波方法,不需要用过去的全部观测值。 b) 它是用状态方程和递推方法进行估计的，因而卡尔曼滤波对信号的平稳性和时不变性不做要求。 c) 使用全部观测值保证平稳性。(Kalman in matlab,if you need it,please download it.)

分水岭分割的实现，主要分四个部分：1，模拟浸水过程；2，模拟降水过程；3，过度分割问题；4，标记分水岭分割算法(The realization of watershed segmentation is mainly divided into four parts: 1. 2. Simulated precipitation process; 3. Excessive segmentation; 4. Marking watershed segmentation algorithm)

说明：  这是MATLAB智能算法30个案例分析（第2版）的code部分，内容详实，有兴趣学习基于matlab只能优化算法的可以参考，里面主要有遗传算法、粒子群算法、模拟退化算法等的演示。(This is the code part of the 30 case analysis (second edition) of MATLAB intelligent algorithms. The content is detailed. If you are interested in learning based on matlab, you can only optimize the algorithm. You can refer to it. There are demonstrations of genetic algorithm, particle swarm algorithm, simulation degradation algorithm, etc.)

melp is very powerful in speech compression