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Kalman
对kalman滤波进行了描述,并对其应用举例说明(Kalman filter for a description and examples of its application)
- 2009-05-09 20:22:18下载
- 积分:1
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rect_array
说明: 有关带有加权的矩形阵的方向图,输入相关参数即可,是雷达系统与分析里面的(For a rectangular array with the weighting pattern, you can enter the relevant parameters, and analysis of radar systems inside)
- 2011-03-28 17:18:35下载
- 积分:1
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Kalman
kalman跟踪经典实例程序,C语言编写,跟踪鼠标移动(kalman tracking classic example program, C language, tracking mouse movements)
- 2014-12-03 22:12:17下载
- 积分:1
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Example2
vc++和matlab混合编程m文件的读取(VC++ and matlab)
- 2011-04-26 15:40:29下载
- 积分:1
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random-numbers
利用三种不同原理产生随机数的方法,种子可以随意变换(Using three different principle methods for generating random Numbers, seeds can be changed at will
)
- 2012-04-23 14:03:57下载
- 积分:1
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PCD
集中度、集中期分析 matlab代码
用于降水、径流分析(precipitation concentration degree (PCD) )
- 2013-11-27 16:42:10下载
- 积分:1
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kernel-estimation
该代码可用于拟合纤维长度分布函数,可将长度分布的直方图拟合成一条连续的曲线(This code can be used for fitting the fiber length distribution function, it can change the length distribution histogram into a continuous curve.)
- 2012-05-02 10:06:12下载
- 积分:1
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Mapeo
This example describe how we can generate a signal QAM wiht the Optisystem software using the power software Matlab.
- 2013-05-14 21:14:36下载
- 积分:1
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prml-web-sol
经典的国外bitshop关于机器学习和模式识别教程,全是英文,内容详细(Classic foreign bitshop tutorial on machine learning and pattern recognition, all in English, detailed)
- 2010-06-12 13:28:58下载
- 积分:1
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pro_2
用局部参数最优化方法设计一个模型参考自适应系统,可调增益的初值Kc(0)=0.2,给定值r(t)为单位阶跃信号,即r(t)=A×1(t)。
要求:
1把连续系统离散化(采样时间可取0.1)。
2编制并运行这个系统的计算机程序(注意调整B值,使系统获得较好的自适应特性)。
3记录ym、yp的曲线 记录kp×kc的曲线 记录广义输出误差e的变化曲线。
4在参数收敛后,让Kp=2变为Kp=1,重新观察Kp×Kc及e的变化曲线。
5找出在确定的B值下,使系统不稳定的A值(阶跃信号的幅值),并与用劳斯稳定判据计算的结果比较。
(With local parameter optimization method to design a model reference adaptive system, adjustable gain initial Kc (0) = 0.2, for a given value of r (t) for the unit step signal that r (t) = A × 1 ( t). Requirements: a continuous system discretization (sampling time of 0.1 preferred). 2 compiled and run the system computer program (Note B to adjust the value of the system to obtain better adaptive characteristics). 3 records ym, yp curve record kp × kc curve records generalized output error e curves. 4 parameter convergence, let Kp = 2 into the Kp = 1, re-observed Kp × Kc and e curves. B-5 to find value in determining the next, making the system unstable A value (step signal of amplitude), and using Routh stability criterion and the comparison of the results calculated.)
- 2010-09-03 14:27:08下载
- 积分:1