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LTE_channel_estimator
上传信道估计代码,实现LTE的信道估计器,新手上传,不吝赐教(LTE channel estimator code)
- 2010-10-07 23:15:50下载
- 积分:1
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signal_process
说明: 卡尔曼滤波和自适应滤波 y(Kalman filtering and adaptive filtering y)
- 2006-04-03 17:12:48下载
- 积分:1
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shiyufenxi
对离散时间系进行了时域分析,包括一些基本的时域操作和分析(Department of discrete-time time-domain analysis, including some basic manipulation and analysis of time-domain)
- 2013-05-02 02:06:36下载
- 积分:1
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2005-Boukhezzar-Nonlinear-Control-of-Variable-Spe
2005-Boukhezzar-Nonlinear Control of Variable Speed Wind Turbines for Power Regulation.pdf
- 2013-12-08 18:21:13下载
- 积分:1
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matlab-MK
matlab MK检验程序,用来检验时间序列突变型(matlab_MK test)
- 2013-05-19 23:27:47下载
- 积分:1
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stochastic-differential-equations-
说明: 时间序列分析中随机微分方程方面的实现,在matlab环境下实现的代码(stochastic differential equations )
- 2011-03-10 19:43:08下载
- 积分:1
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ZSI_SBC_Open_Loop_Perfect
this file is a simulation of simple boost control in z_zource inverter
- 2013-12-10 01:56:30下载
- 积分:1
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A_35
语音识别matlab源代码,包括预处理、特征提取、训练识别(Speech recognition matlab source code)
- 2012-04-10 15:16:29下载
- 积分:1
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SVMRFE
svm的一种特征选择方法,基因选取算去,减少特征数量,减少运算时间,也可提高运算精度(svm a feature selection method, gene selection operator to reduce the number of features to reduce the computation time, but also can improve the calculation accuracy)
- 2020-09-28 21:27:44下载
- 积分:1
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DSP
任务:
1) 借助MATLAB画出误差性能曲面和误差性能曲面的等值曲线(参考PPT2.1第17页的两幅图);
2) 写出最陡下降法以及LMS算法的计算公式(取 );
3) 用MATLAB产生方差为0.05, 均值为0白噪音S(n),并画出某次采样得到的波形(即产生任意一个噪声随机序列);
4) 根据 2)中的公式,并利用 3)中产生的S(n),在 1)中的误差性能曲面的等值曲线上叠加画出采用最陡下降法以及LMS法时H(n)的在叠代过程中的轨迹曲线(参考PPT2.1第17页的右下图的曲线1和曲线2)。
5)用MATLAB计算并画出LMS法时 随时间n的变化曲线(对应S(n)的某一次的一次实现)和e(n)波形;
注意:某一次实现的结果并不能从统计的角度反映实验的结果 的正确性,为得到具有统计特性的实验结果,可用足够多次的 实验结果的平均值作为实验的结果。用MATLAB计算并画出 采用LMS法时,J(n)的100次实验结果的平均值随时间n的变 化曲线(即 生成随机噪声信号并计算结果,重复执行100次, 求平均结果)。
6)在 1)中的误差性能曲面的等值曲线上,叠加画出采用LMS法得到的100次实验中的H(n)的平均值的轨迹曲线;
(Task:
1 ) Draw with MATLAB error performance surface and surface contour error performance curve ( refer PPT2.1 two chart on page 17 )
2 ) Write the steepest descent method and the LMS algorithm formula ( take )
3 ) Using MATLAB to generate variance of 0.05 with a mean of 0 white noise S (n), and draw a particular sampling waveform ( ie, any noise generated random sequence )
4 ) based on 2 ) of the formula , and use 3 ) generated in S (n), in a ) the error performance curves superimposed on the surface contour plot using the steepest descent method and the LMS method when H (n) the iterative process in the trajectory curve ( refer PPT2.1 page 17 bottom right of the curves 1 and 2 ) .
5 ) using MATLAB LMS method is used calculate and draw the curve with time n (corresponding to S (n) of a first implementation of a ) and e (n) waveform
Note : in a first implementation of the results are not reflected from a statistical point of view of accuracy of the experimental results ,)
- 2013-11-08 20:09:06下载
- 积分:1