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Matlab_VC_Config
Matlab和VC混合编程,VC6.0工程设置,图文介绍很详细,在Matlab和VC混合编程中,这一步设置非常重要(Matlab and VC hybrid programming, VC6.0 engineering settings, graphic description is very detailed and hybrid programming in Matlab and VC, this step is quite important)
- 2010-06-12 16:27:12下载
- 积分:1
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matlab-help-chinese
这是matlab的中文版,希望对大家有所帮助(This is the Chinese version of matlab, want to help everyone)
- 2009-12-15 09:45:50下载
- 积分:1
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12
说明: a file to genreate 16psk signal
- 2009-06-25 22:57:57下载
- 积分:1
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YANGLEI
层状压电圧磁结构中表面波的传播,表面波分SH表面波和瑞丽表面波(Layered magnetic structure of piezoelectric pressure wave propagation, wave and wave of SH wave Ruili)
- 2013-12-02 09:56:57下载
- 积分:1
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bfsk
bfsk调制解调误码率仿真,需要用MATLAB来实现的好东西(bfsk modem bit error rate simulation, need to use MATLAB to implement the good stuff)
- 2010-05-11 16:30:02下载
- 积分:1
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Radar-signal-processing
雷达信号的基本模型,高斯分布,几何分布,求信号的概率分布,概率密度函数,功率谱函数,自相关函数等等(The basic model of the radar signal, Gaussian distribution, geometric distribution, the probability distribution for the signal, probability density function, power spectrum, the autocorrelation function, and so)
- 2013-08-27 11:10:48下载
- 积分:1
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gatbx
Sheffield工具箱的简单例子,有作者修改,其中doc文件为介绍(the example of Sheffield GA)
- 2013-05-08 10:54:03下载
- 积分:1
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svd
tsvd 截断奇异值分解 相比较奇异值分解,有很好的抗干扰能力(The singular value decomposition of TSVD truncated singular value decomposition has good anti-interference ability.)
- 2021-03-22 22:29:15下载
- 积分:1
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sim_select_QSTBC_ML_N1
QPSK误码率仿真程序,给出了比较可行,准确的方法(QPSK BER simulation program are given more feasible and accurate method)
- 2009-05-16 23:17:10下载
- 积分:1
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BFGS
拟牛顿法和最速下降法(Steepest Descent Methods)一样只要求每一步迭代时知道目标函数的梯度。通过测量梯度的变化,构造一个目标函数的模型使之足以产生超线性收敛性。这类方法大大优于最速下降法,尤其对于困难的问题。另外,因为拟牛顿法不需要二阶导数的信息,所以有时比牛顿法(Newton s Method)更为有效。如今,优化软件中包含了大量的拟牛顿算法用来解决无约束,约束,和大规模的优化问题。(The quasi-Newton method and the Steepest Descent Methods only require that each step iterations know the gradient of the objective function. By measuring the change of the gradient, constructing a model of the objective function is sufficient to produce superlinear convergence. This method is much better than the steepest descent method, especially for difficult problems. In addition, because the quasi-Newton method does not require information on the second derivative, it is sometimes more effective than the Newton s Method. Today, the optimization software contains a large number of quasi-Newton algorithm used to solve the unconstrained, constraint, and large-scale optimization problems.)
- 2017-05-05 10:28:29下载
- 积分:1