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8471ktvrar
em8471 vod点播软件.em8471 vod点播软件.(em8471 vod system)
- 2009-05-22 12:33:51下载
- 积分：1
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Parzen
说明： 利用parzen窗进行概率密度函数估计，并给出仿真，程序简单易懂。(Using parzen Window probability density function estimation and the simulation, the program is simple to understand.)
- 2011-04-15 17:16:45下载
- 积分：1
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fuzzy-control-11
模糊控制程序，用起来很方便，实现很简单，希望对初学者有所帮助(Fuzzy control program, it is very convenient, implementation is simple, hope to help beginners
)
- 2012-03-29 10:31:36下载
- 积分：1
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detec_qpsk
Detection of qpsk signals
- 2014-02-07 21:51:40下载
- 积分：1
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lamudacpcalculatetest
风电功率系数的计算，应用经验公式，计算风力机吸收功率的系数(calculate coefficient of wind power )
- 2013-05-20 10:47:05下载
- 积分：1
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FDNC
有限差分法求解振动力学中瞬态响应问题
matlab编写的GUI程序( Finite Difference Numerical Computation (FDNC) Program For calculating response of transient vibration)
- 2010-06-18 23:27:29下载
- 积分：1
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ukf
无迹卡尔曼滤波UKF是重要的非线性滤波方法。它采用UT变换的方法，不再近似系统的非线性方程，它仍然用高斯随机变量表示状态分布，不过是用特定选择的样本点加以描述，每个点叫一个高斯点，它从系统状态的概率密度函数中取出；然后，按系统的真实模型演化，得到非线性演化后的σ点，使得样本均值和样本方差是真实均值和真实方差的好的近似。
在这个程序中，实现了基于UKF的滤波方法，并且建立了两种仿真环境进行实验。(Unscented Kalman filter UKF is an important nonlinear filtering method. It uses the UT transformation method, no similar system of nonlinear equations, it still says the state with the Gaussian distribution of random variables, but the specific choice is to describe the sample points, each point is called a Gaussian point, it is from probability density function of the system state to remove then, according to the true model of evolution of the system obtained after the nonlinear evolution of σ point, making the sample mean and sample variance is true variance of the mean and the true good approximation.
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- 2011-05-24 17:09:14下载
- 积分：1
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jixijifenduffing
自编的增加维数精细积分求解非线性动力学方程的程序(pim method)
- 2013-11-09 09:58:03下载
- 积分：1
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MMSE_fse
MMSE算法，基于MATLAB 的 关于导频MIMO-OFDM 信道的基本算法(MMSE algorithm based on MATLAB MIMO and OFDM channel algorithm about the pilot)
- 2015-03-20 12:34:23下载
- 积分：1
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buck_tran
使用matlab的simulink工具箱仿真buck变换器(The simulink toolbox using matlab simulation buck converter)
- 2010-01-04 21:31:36下载
- 积分：1
