-
matlab_example.txt.tar
example of matlab code
- 2012-07-01 11:42:06下载
- 积分：1
-
gp
说明： 关联维数计算程序，包括关联维数计算，相空间重构，关联积分计算(Correlation dimension calculation program, including calculation of correlation dimension, phase space reconstruction, correlation integral calculation)
- 2011-09-13 09:57:19下载
- 积分：1
-
CH6MATLAB
MATLAB经典示例
以示参考
十分有用(MATLAB classic example to show reference useful)
- 2013-02-25 09:16:20下载
- 积分：1
-
matlab-help
matlab帮助文档，详尽讲述了一些函数的用法，具有一定的参考价值
(matlab help document, described in detail a number of function usage, has a certain reference value)
- 2008-08-01 16:23:39下载
- 积分：1
-
image_transform
这是关于图像翻转，旋转，缩放等变换的MATLAB源程序，以函数的形式写出来。(This is about image rotation, zooming transform MATLAB source code, written in the form to function.)
- 2010-05-27 15:35:43下载
- 积分：1
-
FPE
说明： 按FPE定阶的
源程序：fpe.cpp
M序列：M序列.txt
白噪声：Gauss.txt
程序中先用依模型阶次递推算法估计模型的参数，再用fpe方法判断模型的阶次。
程序运行结果如下：
n: 1
判断阶次FPE的值: 0.0096406
-0.481665 1.07868
n: 2
判断阶次FPE的值: 0.00875755
-0.446739 0.00498181 1.07791 0.0527289
n: 3
判断阶次FPE的值: 0.0087098
-0.459433 0.120972 -0.0569228 1.07814 0.0390757 0.116982
n: 4
判断阶次FPE的值: 0.000396884
-0.509677 0.4501 -0.200906 0.0656188 1.07991 -0.0156362 0.442989 0.0497236
n: 5
判断阶次FPE的值: 3.2095e-007
-1.18415 0.813123 -0.517862 0.34881 -0.116864 1.07999 -0.744141 0.474462 -0.253112 0.122771
n: 6
判断阶次FPE的值: 3.23349e-007
-1.14659 0.76933 -0.487651 0.329676 -0.10377 -0.00440907 1.07999 -0.703574 0.447253 -0.235282 0.113587 0.00479688
从以上结果可以看出，当n=5时，fpe值最小，所以这时的模型阶次和参数估计值为最优结果：
3.2095e-007
-1.18415 0.813123 -0.517862 0.34881 -0.116864 1.07999 -0.744141 0.474462 -0.253112 0.122771(err)
- 2008-09-12 01:14:14下载
- 积分：1
-
remainenergy
computes the shortening-signal-to-noise ratio in dB,tail energy in dB
and the effective channel impulse response(computes the shortening- signal-to-nois e ratio in dB. tail energy in dB and the effective channel impu lse response)
- 2007-06-07 19:11:25下载
- 积分：1
-
Main_wavelenght
Code in Matlab to find the wave and the radius of fiber.
- 2015-02-13 10:06:03下载
- 积分：1
-
PSO
This paper propose a Firefly algorithm (FA) for
optimal placement and sizing of distributed generation (DG) in
radial distribution system to minimize the total real power losses
and to improve the voltage profile. FA is a metaheuristic
algorithm which is inspired by the flashing behavior of fireflies.
The primary purpose of firefly’s flash is to act as a signal system
to attract other fireflies. Metaheuristic algorithms are widely
recognized as one of the most practical approaches for hard
optimization problems. The most attractive feature of a
metaheuristic is that its application requires no special
knowledge on the optimization problem. In this paper, IEEE 33-
bus distribution test system is used to show the effectiveness of
the FA. Comparison with Shuffled Frog Leaping Algorithm
(SFLA) is also given.
- 2015-11-23 01:58:02下载
- 积分：1
-
ssc_lead_acid_battery
说明： 这个例子展示了一种高压电池，类似于混合动力汽车中使用的电池。该模型采用真实的直流链路电流分布，该电流分布来源于动态驾驶循环。总模拟时间为3600秒。此示例演示如何使用Simscape对铅酸蓄电池单元建模 实现等效电路元件非线性方程的语言。这样，与完全在Simulink中建模不同，模型组件和定义物理方程之间的连接更容易理解。有关定义方程及其验证，请参见Jackey，R.“电气系统部件选择的简单有效铅酸蓄电池建模过程”，SAE世界大会与展览会，2007年4月，参考文献2007-01-0778。(This example shows how to model a lead-acid battery cell using the Simscape language to implement the nonlinear equations of the equivalent circuit components. In this way, as opposed to modeling entirely in Simulink, the connection between model components and the defining physical equations is more easily understood. For the defining equations and their validation, see Jackey, R. "A Simple, Effective Lead-Acid Battery Modeling Process for Electrical System Component Selection", SAE World Congress & Exhibition, April 2007, ref. 2007-01-0778.)
- 2020-06-28 18:00:01下载
- 积分：1
