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computerwork_1
1） 借助MATLAB画出误差性能曲面和误差性能曲面的等值曲线；
2） 写出最陡下降法， LMS算法的计算公式（ ）；
3） 用MATLAB产生方差为0.05,均值为0白噪音S(n)，并画出其中一次实现的波形图；
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， LMS法时H(n)的在叠代过程中的轨迹曲线。
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；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。
6）用MATLAB计算并在1）中的误差性能曲面的等值曲线上叠加画出LMS法时100次实验中的H(n)的平均值的轨迹曲线；
7）对以上实验结果给出一些你认为有价值的讨论。
（在实验中n=1,,…..N,N的取值根据实验情况确定，一般选取足够大以使算法达到基本收敛，本题作业以电子文档PDF格式提供）
(1) With MATLAB to draw the contours of the error performance surface and error performance surface
2) Write down the steepest descent method, the LMS algorithm formula ()
3) using MATLAB variance 0.05, mean 0 white noise S (n), and draw one to achieve the waveform diagram
4) According to the formula 2), and using 3) S (n) produced in 1), the error performance of the contours of the surfaces superimposed on draw using the steepest descent method, the LMS method is H (n) in the iterative process in the trajectory curve.
5) curve to calculate and draw the LMS method using MATLAB with time n (time corresponding to the S (n) of a first implementation) and e (n) waveform reflect a certain time to achieve results not from a statistical point of experiment the correctness of the results obtained with the experimental results of the statistical properties of the available sufficient times the average of the experimental results as a result of the experiment. Calculate and draw the LMS m)
- 2020-12-14 14:29:14下载
- 积分：1
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ExtractMSERandSave
DEMO MSER WITH DATA OF IDCAR 2015
- 2020-07-14 15:08:51下载
- 积分：1
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fuliyebianhuan
用MATLAB实现傅立叶变换(Using MATLAB to achieve Fourier Transform)
- 2007-11-14 16:30:09下载
- 积分：1
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fubianhanshu
复变函数与积分变换的学习辅导和课后习题全解(Complex Variables and Integral Transform counseling and after-school learning all solutions of Problem)
- 2010-10-28 20:37:49下载
- 积分：1
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ICP-ps
Iterative Closest Point (ICP) 算法的改进型，精读高于原始版的，对点云噪声和漏洞的处理效果更好于原始版。(Iterative Closest Point (ICP) algorithm is improved, intensive than the original version.)
- 2013-07-16 19:55:43下载
- 积分：1
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testrun4_addPath
add kml file to matlan
- 2013-05-21 16:47:30下载
- 积分：1
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pca
详细的线性PCA计算过程，详细的线性PCA计算过程(The linear PCA detailed calculation process)
- 2012-10-18 11:23:57下载
- 积分：1
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MATLAB
MATLAB有限元分析与应用,详细的介绍了matlab在结构分析中的应用(MATLAB finite element analysis and application, a detailed description of the matlab in Structural Analysis)
- 2014-02-12 13:02:19下载
- 积分：1
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pso
使用Matlab实现粒子群算法对于函数FUN寻优(Achieved using the Matlab function FUN Particle Swarm Optimization for)
- 2011-04-28 17:46:06下载
- 积分：1
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FEI
假设在一个ad hoc网络中，移动节点的发射功率PTx总是恒定的。要发送数据的移动节点总是先监听信道，测量接收到的信号功率X，其中X= I + N, I为接收到的干扰，N是噪声。移动节点只有在X＜INThre时，才可以发射。式中，INThre为背景噪声门限。
在仿真中，我们规定每个移动节点的发射功率是常数，PTx = 1W；接收节点接收机的灵敏度Smin = -80 dBm；信号质量 min = 2 dB；系统的背景噪声门限INThre = 1.2e-10。
(Assuming in an ad hoc network, mobile node s transmission power is always constant PTX. To send data to the mobile node always monitor channel, measuring the received signal power X, which X = I+ N, I was received interference, N is the noise. Mobile node only when X <INThre when it is fired. Where, INThre threshold for background noise. In the simulation, we require that each mobile node s transmission power is constant, PTx = 1W receiver node receiver sensitivity Smin =-80 dBm signal quality )
- 2008-01-05 11:21:40下载
- 积分：1
