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matlabjiaocheng
说明： 史上最详细的matlab教程，涵盖了matlab使用的各个方面，很有帮助作用(The history of the most detailed tutorial matlab, covering all aspects of the use of matlab, helpful role in)
- 2009-08-18 00:04:14下载
- 积分：1
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Ch5figs
阵列处理第五章 源代码 matlab code(array processing matlab code)
- 2012-04-27 09:09:21下载
- 积分：1
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matlabxinhao-
这个代码是用matlab编程实现产生一个复指数序列、方波序列、单位阶跃序列单位冲击等几个序列(This code is to use matlab programs have a complex index series, square wave sequences, unit step representation unit and so on several series sequence impact
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- 2011-12-08 10:17:16下载
- 积分：1
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ezyfit2.42
fit in processing with function
- 2015-07-08 18:54:59下载
- 积分：1
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GetCACode
产生北斗卫星伪随机码程序，利用该程序可以产生任意一颗北斗卫星的C/A码序列。(Pseudo-random code generation Beidou satellite program, use the program can generate any one Beidou satellite C/A code sequence.)
- 2016-03-22 11:28:17下载
- 积分：1
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bpsk
说明： 层空时码有三种普遍的检测算法：最大似然（Maximum Likelihood ,ML）检测算法、迫零（zero forcing ,ZF）检测算法、最小均方误差（Minimum Mean Squared Error,MMSE）检测算法。(There are three layers in general space-time code detection algorithms: maximum likelihood (Maximum Likelihood, ML) detection algorithm, forcing zero (zero forcing, ZF) detection algorithm, minimum mean square error (Minimum Mean Squared Error, MMSE) detection algorithm.)
- 2011-03-05 22:31:00下载
- 积分：1
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Coded_Modulation
BER simulation with matlab
- 2012-04-09 19:16:48下载
- 积分：1
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UncompensatedLineSimulation
Uncompensated line for UPFC
- 2015-02-20 03:50:52下载
- 积分：1
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基于SVPWM空间矢量的matlab
说明： 基于SVPWM空间矢量的matlab 仿真模型，适用异步电机，完美运行
基于SVPWM空间矢量的matlab 仿真模型，适用异步电机，完美运行(The matlab simulation model based on SVPWM space vector is suitable for asynchronous motor and works perfectly.)
- 2019-01-15 20:15:02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
