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rmbaseline
对一维脉冲信号可去除基底,且做结构函数分析。如果是二维信号,可进行动态谱分析,进行二维高斯函数拟合(Can remove the base and do the structure function analysis of the one-dimensional pulse signal. If it is a two-dimensional signal dynamic spectral analysis, two-dimensional Gaussian function fitting)
- 2013-04-10 11:09:19下载
- 积分:1
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PCAPSVM
PCA+SVM用于人脸识别,,很好用,,有详细注释(PCA+SVM for face recognition, and useful, detailed notes)
- 2013-01-03 11:53:37下载
- 积分:1
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matlab
RLS , channel equalizer
- 2011-09-09 00:26:38下载
- 积分:1
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遗传算法处理NURBS曲线逼近(Matlab实现)
在Matlab平台上采用将模拟退火算法及遗传算法相结合的曲线拟合方法,实现以任意次数、任意顶点数的非均匀有理B样条(NURBS)曲线逼近给定测量点序列(On the Matlab platform, we use the curve fitting method combining simulated annealing algorithm and genetic algorithm to achieve the sequence of a given measurement point with any number of arbitrary number of points and the non-uniform rational B spline (NURBS) curve.)
- 2021-03-08 17:29:28下载
- 积分:1
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imnoiseadd
说明: 去掉图像的噪音的一个不错的事例。值得大家参考(remove the noise image of a good story. Worthy of our reference)
- 2006-04-12 20:17:31下载
- 积分:1
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@KalmanFilter
离散卡尔曼滤波matlab源程序,可用于组合导航仿真。(A matlab Kalman filter function, which can be used for integrated navigation simulation.)
- 2013-08-27 22:13:22下载
- 积分:1
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slidingmodart
slidingmode control for wind energy
- 2014-11-07 19:54:08下载
- 积分:1
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mc_cdma
自己用Simulink做的mc_cdma链路仿真,运行结果还不错,有需要的可以参考一下(Their own to do with the mc_cdma link Simulink simulation, the results also is true that there is a need to look at the can)
- 2007-10-12 15:29:11下载
- 积分:1
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ML
说明: 此算法为基于最大似然方法的DOA估计 是区别于子空间类的DOA算法 但需要多维搜索 计算量较大(This algorithm is based on the maximum likelihood method of DOA estimation is different from the sub-space kind of DOA algorithm but calculating the volume of the larger multi-dimensional search)
- 2007-11-16 07:45:22下载
- 积分:1
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computerwork_2
2. 设 是窄带信号,定义 是在 区间上均匀分布的随机相位。 是寬带信号,它是一个零均值、方差为1的白噪音信号e(n)激励一个线性滤波器而产生,其差分方程为 。
1) 计算 和 各自的自相关函数,并画出其函数图形。根据此选择合适的延时,以实现谱线增强。
2) 产生一个 序列。选择合适的 值。让 通过谱线增强器。画出输出信号 和误差信号e(n)的波形,并分别与 和 比较。
(Computer Experiments:
1. Consider an AR process x(n) defined by the difference equation
where v(n) is an additive white noise of zero mean and variance .The AR parameters and are both real valued:
a) Calculate the noise variance such that the AR process x(n) has unit variance .Hence , generate different realization of the process x (n).
b) Given the input x (n), an LMS filter of length M = 2 is used to estimate the unknown AR parameters and . The step size is assigned the value 0.05. Compute and plot the ensemble average curve of and by averaging the value of parameters and over an ensemble of 100 different realization of the filter. Calculate the time constant according to the experiment results and compare with the corresponded theoretical value.
c) For one realization of the LMS filter, compute the prediction error
And the two tap-weight errors
and
Using power spectral plots of , show that)
- 2020-06-28 19:40:01下载
- 积分:1