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MATLABCode
Simulations for Radar Systems Design》Matlab程序(Simulations for Radar Systems Design )
- 2007-09-10 17:03:20下载
- 积分：1
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QAM_generator_3
QAM generator. This code generates M-ary QAM signals
- 2010-12-02 08:18:02下载
- 积分：1
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Mur
Mur boundary 2D FDTD, 2维FDTD采取MUR二阶近似，时变动态电磁场(Mur boundary 2D FDTD， second order Mur approximation， time variant Time signal simulation)
- 2011-09-22 11:51:24下载
- 积分：1
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Series-Forcast
用于时间序列的预测，包含序列特征描述、平稳性检验、序列周期判断、季节因子提取、指数平滑预测、及ARIMA预测(Sequence features for time series prediction, including the description of the stationary test, to determine the sequence cycle, seasonal factor extraction, exponential smoothing, and ARIMA forecasting)
- 2020-11-28 14:39:30下载
- 积分：1
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MT_inversion
大地电磁最小二乘光滑约束反演，包含bostick反演对比(Smooth constrained least squares inversion of magnetotelluric, including bostick contrast inversion)
- 2021-04-27 09:58:44下载
- 积分：1
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4music
MUSIC算法的仿真程序，希望能对做空间谱估计的同学有所帮助。(MUSIC algorithm simulation program, hoping to make spatial spectrum estimation of the students help.)
- 2009-02-06 22:16:53下载
- 积分：1
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Wiener
设计一维纳滤波器。产生三组观测数据，并估计它们的AR模型参数，分析信号长度和模型阶次对实验结果的影响(Wiener filter design. Have three sets of observational data, and estimated AR model parameters of their analysis of the signal length and model order on the impact of experimental results)
- 2009-06-14 15:55:45下载
- 积分：1
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biflogistica
Bifurcation Diagram of logistic map
- 2013-01-09 14:30:14下载
- 积分：1
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FCM_FAST
FCM算法。使用Matlab编写。可用于数据聚类，图像分割，统计分析等各种机器学习领域。(FCM algorithm. Write with matlab. It can be used in data clustering, image segmentation, statistical analysis and other machine learning fields.)
- 2020-06-21 17:00:01下载
- 积分：1
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cut_sample
说明： 使用二分法对样本集进行剪辑，剪辑法的思想，就是将样本集分成训练集与考试集， 利用训练集样本对考试集的样本进行分类（使用近邻法），如果考试集中某个样本分类错误的话，将这个样本删除。在该函数中，使用最近邻法，只进行一次剪辑（遍历完考试集中的样本以后退出）。还有一种重复剪辑法（适用于样本比较多的情况），把样本随机分为多个样本集，将相邻的两个样本前一个作为考试集，后一个作为训练集，调用二分剪辑。所有的样本子集剪辑完毕以后，在递归调用，直到没有样本被剪辑掉,没得讲，重复剪辑的效果肯定好一些。
(The sample sets using the dichotomy of the clips, editing law idea is to sample set into training set and test set, using the training set samples to the test set of samples (using the nearest neighbor algorithm), if the examination focused on a sample of classification error then delete this sample. In the function, use the nearest neighbor method, only once clips (focused on a sample of traversal finished after the exit exam). There is also a repeat clip method (samples are more applicable to the case), the samples were randomly divided into multiple sample set, the two adjacent samples of the former one as a test set, the latter one as a training set, call the two sub-clips. All the samples were a subset of the clips after they have finished, in the recursive call, until there are no samples were clip out, did not have to say that the effect of repeated clips definitely better.)
- 2010-03-19 11:13:13下载
- 积分：1
