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jixing_LMS_multi_input_adv1
基于极性LMS算法的对于多信号波达角方向估计，基于32单元线阵(LMS algorithm based on the polarity of the multi-signal angle of arrival direction is estimated, based on the 32-cell linear array)
- 2009-07-10 11:30:09下载
- 积分：1
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adaptive_PSF_TV
adaptive total variation estimation for the point spread function
- 2011-06-05 06:09:43下载
- 积分：1
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jumbodepp
实现:实指数、复指数、不同长度序列求和、y(n)=x(-n)、y(n)=x(n-k)(realization : real indices Minute index, different length sequences for peace, y (n) = x (-n), y (n) = x (n-k))
- 2007-06-15 21:28:32下载
- 积分：1
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download(3)
Overvoltage protection study
on Vacuum breaker switched
MV motors
- 2014-01-20 06:20:52下载
- 积分：1
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MatFemCal_v1_1.tar
matlab finite element code for solving pdes
- 2013-08-29 08:32:37下载
- 积分：1
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netual-net-Matlab
神经网络预测,几个简单的列子，适合初学者(neural network prediction matlab programe)
- 2013-12-01 14:14:52下载
- 积分：1
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zhinengkongzhiziliao
智能控制编程及其在matlab中如何应用实现(Intelligent control programming and its implementation in matlab how to apply)
- 2013-08-31 13:01:03下载
- 积分：1
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eg13-tishengxingneng
《MATLAB神经网络30个案例分析》中的第13个例子，案例13 SVM神经网络中的参数优化---提升分类器性能。希望对大家有一定的帮助！(The MATLAB neural network analysis of 30 cases of example, 13 cases of 13 SVM parameters optimization of neural network classifier performance- ascension. Hope to have certain help to everybody!
)
- 2013-09-20 16:09:26下载
- 积分：1
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Laser-based_Timber_Profiling
Laser-based的建材研究，报告中附有完整的matlab 源码。(Defective timber is unwanted by the customers therefore it is separated from the
normal timbers as soon as it comes out of the sculpting process before it is sent to the
market. Therefore the objective of this project is to use a laser-based technique to identify the defects, the type of defects and the quality of the timber.)
- 2010-07-08 17:50:00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
