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ntfs
NTFS完整可编译代码！由weolar修改制作！(NTFS complete code can be compiled! Produced by the modified weolar!)
- 2009-06-05 21:18:52下载
- 积分：1
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TPDS07052010
Band pass filter
- 2011-02-04 02:59:21下载
- 积分：1
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Hallen
用矩量法（Hallen方程）分析半波振子天线电流分布，方向性图(Analyse DipoleAntenna with MOM（Hallen）)
- 2010-05-11 16:03:29下载
- 积分：1
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digitalholograpy
说明： 实现了用超声波测量以及形成图像 对相关信号进行模拟仿真(Achieved the formation of images using ultrasound measurements, and simulation of the relevant signals)
- 2010-04-16 22:37:58下载
- 积分：1
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AnalysisofLinkages
说明： 机械工程设计中对于连杆机构的运动分析的相关程序(Mechanical Engineering Design movement for linkage analysis procedures)
- 2010-05-03 10:30:48下载
- 积分：1
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yuyin
自适应信号处理中 LMS RLS算法进行语音消噪(LMS RLS adaptive signal processing algorithms for speech denoising)
- 2011-08-09 23:20:25下载
- 积分：1
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wzrh
(1)针对在线计算量大这一缺陷，将预测控制中的柔化输出信号的思想推广到柔化输入信号，使得约束条件被简化为仅对当前控制量的约束，可以直接计算得出；同时该方法避免了求逆矩阵，大大减小了计算量，并能够保证控制算法的可行性和良好的控制性能。
(2)针对传统算法中设计参数整定困难这一缺点，应用基于BP神经网络变参数设计的广义预测控制算法，实现了对控制量柔化参数的在线调整。
(3)利用带有遗忘因子的最小二乘法对系统辨识。本文通过仿真发现该方法对于Hénon混沌系统并不完全适用，可考虑利用其他优化系统辨识的方法对本方法进行改进，以期达到更好的辨识效果。
(4)针对系统稳定性分析复杂，本文在控制增量前加入前馈因子，保证所选的Lyapunov函数使闭环系统满足Lyapunov稳定判据，由此证明闭环系统稳定。
(1. To solve the problem of GPC huge computation, algorithm with input increment constraints is presented in which the concept of output softness was used to soften the input increments．As a result, the constraints are simplified to be the only one constraint on the current control increment which can be computed directly. At the same time, it needn’t computing the inverse matrix and thus reduces large computation. Moreover, it guarantees the feasibility of the algorithm and has good control performance．
2. To overcome the difficulty in the choice of tuning parameters in traditional GPC, a GPC algorithm with variable parameter design based on BP neural network. is presented，in which the input softness parameters are tuned on line.
3. In this paper, we Identify system by using the least square method with forgetting factor. However, after system simulation, we realize that this method doesn’t fit the Hénon chaotic system perfectly. So we recommend modify this method by other Optimizati)
- 2013-05-06 21:59:10下载
- 积分：1
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knn1
K最邻近密度估计技术是一种分类方法，不是聚类方法。
不是最优方法，实践中比较流行。
通俗但不一定易懂的规则是：
1.计算待分类数据和不同类中每一个数据的距离（欧氏或马氏）。
2.选出最小的前K数据个距离，这里用到选择排序法。
3.对比这前K个距离，找出K个数据中包含最多的是那个类的数据，即为待分类数据所在的类。(K nearest neighbor density estimation is a classification method, not a clustering method.
It is not the best method, but it is popular in practice.
Popular but not necessarily understandable rule is:
1. calculate the distance between the data to be classified and the data in each other (Euclidean or Markov).
2. select the minimum distance from the previous K data, where the choice sorting method is used.
3. compare the previous K distances to find out which K data contains the most data of that class, that is, the class to which the data to be classified is located.)
- 2017-08-09 21:06:38下载
- 积分：1
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AutoWarnDlg
automatic warning system using matlab
- 2010-01-06 20:10:48下载
- 积分：1
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edge_detection
Edge detection is a feature of this Code and you can find out the edges of an image seamelessly using matlab by this code
- 2010-12-26 13:50:59下载
- 积分：1
