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kalman_forward_backward
Kalman filter expample, kalman_forward_backward
- 2010-08-09 16:29:29下载
- 积分：1
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Lte-handover-master
说明： 关于LTE切换的matlab仿真程序。内涵参考文献和代码。(Matlab simulation program for LTE handover. Connotation references and codes.)
- 2021-03-17 16:29:20下载
- 积分：1
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Interpolation-Integration
Interpolation-spline/polynomial interpolation example.
Integration-integration using trapezoidal rule (equally spaced data)
- 2010-11-16 17:59:20下载
- 积分：1
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DS_kuopin_simulation
说明： 通过Monte Carlo仿真，说明DS扩频信号在抑制正弦干扰方面的有效性。用一均匀随机数发生器产生某个二进制信息符号的序列，每个信息比特重复Lc次。
包含文件：DS_restrain_interference.M
SS.M(through Monte Carlo simulation, note DS spread spectrum signal sinusoidal interference in inhibiting the effectiveness. Using a uniform random number generator produce a binary sequence information symbols, each bit of information to repeat Lc times. Documents include : DS_restrain_interference.M SS.M)
- 2006-03-22 11:32:53下载
- 积分：1
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bound_BSC_R12_K3_K4_hard
matlab code for viterbi decoder
- 2010-03-05 14:18:58下载
- 积分：1
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bootgmregress
自举是一种由重采样估计，独立和（蒙特卡洛重采样）等概率设置一个单一的数据统计变化的一个途径。允许的措施估计那里的潜在分布是未知的或者样本量很小。他们的结果与这些分析方法的统计特性相一致。
在这里，我们使用非参数逼近。非参数引导更简单。它不使用该模型的结构，建造人工数据。矢量[易西]是重采样，而不是直接与replecement。这些参数是从这些对构建。
二，回归模型时，应使用在回归方程中的两个变量是随机的，会有错误的，即不是由研究者控制。模式，我用普通最小二乘回归低估了变量之间的错误时，他们都含有线性关系的斜率。据索卡尔和罗尔夫（1995），模型二回归的主题是一对哪些研究和争论仍在继续，最终建议是很难做出。
BOOTGMREGRESS模型II是一个引导程序。这需要s引导和规范样品前坡计算变量。这两个变量的每个转化为具有零均值和标准差的一个。由此产生的斜率是线性回归系数的Y在X里克创造了这个词（1973）几何平均数并给出了一个模型II回归广泛审查。它也被称为引导标准的主要轴线(The bootstrap is a way of estimating the variability of a statistic from a single data set by resampling it independently and with equal probabilities (Monte Carlo resampling). Allows the estimation of measures where the underlying distribution is unknown or where sample sizes are small. Their results are consistent with the statistical properties of those analytical methods.
Here, we use the Non-parametric Bootstrap. Non-parametric bootstrap is simpler. It does not use the structure of the model to construct artificial data. The vector [yi, xi] is instead directly resampled with replecement. The parameters are constructed from these pairs.
Model II regression should be used when the two variables in the regression equation are random and subject to error, i.e. not controlled by the researcher. Model I regression using ordinary least squares underestimates the slope of the linear relationship between the variables when they both contain error. According to Sokal and Rohlf (1995), t)
- 2011-05-21 13:19:38下载
- 积分：1
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linearandnearest
图像插值算法（最近邻域和双线性），很好用。(image interpolation algorithm (recent neighborhood and bilinear), is useful.)
- 2007-05-20 11:12:28下载
- 积分：1
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Riemann-matlab.doc
用cfd解1一维Riemann问题，采用二阶精度两步差分格式进行数值求解(Cfd solution with a one-dimensional Riemann problem, the use of second-order accurate numerical solution of the two-step difference scheme)
- 2015-02-27 23:01:25下载
- 积分：1
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MATLAB命令行下mcc命令示范2-MccTest1&2
MATLAB命令行下mcc命令示范2 (MATLAB command line mcc orders Model 2)
- 2005-04-03 14:18:33下载
- 积分：1
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HMGD_mo_ni
理论力学——霍曼轨道运动的matlab计算机模拟 主程序名 hmgd.m 函数名 界面程序名hmgdfun.mhmgdgui(Theoretical Mechanics- Hö rmann computer simulation of orbital motion, matlab main program interface function names were hmgd.m program name hmgdfun.mhmgdgui)
- 2009-12-27 08:48:35下载
- 积分：1
