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mysim_4ask.m
simulation of 4 ask
this simulation need more improvement.
I ll refine it later but it has the basic for a 4ask signalling scheme.
it ll compare the result with analytical answer and depicts it in a semilog plot.
- 2009-11-21 22:59:24下载
- 积分：1
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logistic
用logistics法拟合数据，并达到预测的作用，数据文件未上传(Fitting with logistics data and forecasts to achieve the role of the data file did not upload)
- 2009-04-30 16:34:38下载
- 积分：1
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SC_FDE
单载波频域均衡，迫零算法以及MMSE算法的比较(Single-carrier frequency domain equalizatio，compare zeros and MMSE )
- 2021-03-18 13:09:19下载
- 积分：1
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BP_forecast
利用BP神经网络对非线性函数拟合，从而进行预测(BP neural network nonlinear function fitting and thus to predict)
- 2015-04-30 09:49:09下载
- 积分：1
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P3026Y
这也是中东地区的一种格式，数据处理不难，但是功能多了就很难(This is the Middle East region a format, data processing is not difficult, but it functions more difficult)
- 2007-01-08 15:17:02下载
- 积分：1
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normalise-F
make the epipolar line
using matlab code.
- 2014-12-09 13:41:20下载
- 积分：1
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Robinson
实现基于Robinson算子的边缘检测功能，该算法比传统的算法具有更好的边缘检测效果(Achieve the function of edge detection based on Robinson operator, the algorithm than the traditional edge detection algorithm has a better effect)
- 2015-02-19 12:14:40下载
- 积分：1
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拉丁超立方 (2)
说明： 假如数据中有N 个变量，而我们想抽取的样本的数量是M,那么在对数据进行抽样的时候，这种方法首先会把N个变量的设计空间均匀的划分开为M份，然后在每个划分好的区域中随机的抽取一点，最后，从这M个变量里，随机挑选之前选好的点，构成我们的样本(If there are n variables in the data, and the number of samples we want to extract is m, then when sampling the data, this method will first divide the design space of n variables into M parts evenly, and then randomly extract a point in each divided area. Finally, from the m variables, randomly select the previously selected points to form our sample)
- 2021-04-07 19:47:52下载
- 积分：1
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Kalman-filter-algorithm
卡尔曼滤波算法(内含详细推导)，可供读者自行学习，经本人测试，代码无误(Kalman filter algorithm (including the detailed derivation))
- 2013-10-21 19:55:05下载
- 积分：1
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LMS
LMS算法权值轨迹，学习曲线，误差曲线。MATLAB程序展示，有着良好的分析特性(LMS algorithm weight trajectory, the learning curve, the error curve. MATLAB program display, has a good analysis features)
- 2010-11-27 18:14:04下载
- 积分：1
