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GPSR_6.0
GPSR_6.0 工具器,梯度投影法CS恢复,很有用的(GPSR_6.0)
- 2010-08-12 11:02:04下载
- 积分:1
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1
说明: 神经网络进行产量的Matlab源代码
BP 神经网络用于预测
(Neural network output of Matlab source code
for BP neural network to predict)
- 2010-09-11 15:22:36下载
- 积分:1
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approx_entropy_my
近似熵的matlab实现程序Code for computing approximate entropy for a time series(Approximate entropy )
- 2014-10-29 17:27:28下载
- 积分:1
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uitable
this code for image processing different operation performed
- 2015-03-25 14:26:23下载
- 积分:1
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MultiUAVsim
说明: 多无人机协同侦查、任务分配、智能决策仿真(MultiUAV cooperations control)
- 2019-02-14 15:34:55下载
- 积分:1
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MATLABzhinenkongzhi
文中介绍了传统的PID控制原理,PID分为位置式和增量式,计算机控制是数字PID控制。一些
改进的PID控制算法是针对实际应用中的不足提出的,如积分分离式PID控制算法,抗
积分饱和算法,变速积分算法等,实际应用中,控制又分为简单PID控制和串级PID控
制,对一些典型的控制算法,选用典型控制对象用MArLAB软件进行了对应仿真。对仿
真结果进行了对比分析,说明了改进算法的作用。(This paper introduces the principle of the traditional PID control, PID into position and incremental, computer-controlled digital PID control. Some improvements in the PID control algorithm is less than the practical application of the proposed, such as discrete integral PID control algorithm, anti-integral saturation algorithm, changing integration algorithm and so on, practical application, the control is divided into a simple cascade PID control and PID control , for some typical control algorithm, selection of a typical control object MArLAB software with the corresponding simulation. The simulation results of comparative analysis carried out to illustrate the role of the improved algorithm.)
- 2008-08-22 09:20:43下载
- 积分:1
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BiSAR_BP_scence_echo
星级联合双基地,sar回波生成,matlab源程序(sar echogen)
- 2012-04-19 19:04:16下载
- 积分:1
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KalmanFilterRr1e4FOCNP
Kalman Filter programmation
- 2012-04-23 21:07:23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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SOGI_PLL_single_phase_discrete
说明: 基于SOGI的锁相环设计,可以实现较为准确的相角跟踪(The phase-locked loop design based on sogi can realize more accurate phase angle tracking)
- 2019-10-22 16:25:43下载
- 积分:1