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fullofdm-(2)
OFDM with noisy channel with qpsk
- 2014-11-16 02:02:04下载
- 积分：1
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Base-and-applition-of--MATLAB
本书以Matlab6.1版为基础，详细介绍了基本原理、操作、运算以及数据的可视化处理、二维三维图形绘制与修饰、数据处理、数值计算、符号计算、simlink仿真等。
(Book Matlab6.1 version, based on detailed basic principles, operations, computing and data visualization, 2D and 3D graphics rendering and modification, data processing, numerical computing, symbolic computation, simlink simulation.)
- 2011-11-11 15:07:48下载
- 积分：1
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fkmig
This code is about migration of seismic data.
- 2009-11-09 04:22:22下载
- 积分：1
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CAVERN
该程序是在flac下运行的，没找到flac，所以用matlab表示了，供岩土力学研究方向学习(The program is run under flac, did not find flac, so use matlab shows for rock mechanics research study)
- 2015-01-05 21:09:09下载
- 积分：1
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wrap_affine1
仿射，图像变换，选取图像四个角点，进行图像变换(Click to select the four corners of the image affine transformation point)
- 2013-12-05 15:43:38下载
- 积分：1
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yiqunsuanfa
该算法是用Matlab语言编写的蚁群算法，可以有效的求解城市间的最短路径，并且能够动态的呈现求解过程。(The algorithm of Matlab language of ant colony algorithm, can effectively solve the shortest path between cities, dynamic and able to show the change process.)
- 2013-11-22 09:21:25下载
- 积分：1
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MOEA-dev
说明： MATLAB多目标搜索算法工具包，包含了各种测试函数(MOEA toolbox for MATLAB)
- 2020-07-01 03:00:02下载
- 积分：1
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New-Folder
program for lms.it is the lms algorithm for bpsk modulated sound wave
- 2011-07-24 00:41:04下载
- 积分：1
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adaboost
AdaBoost元算法属于boosting系统融合方法中最流行的一种，说白了就是一种串行训练并且最后加权累加的系统融合方法。
具体的流程是：每一个训练样例都赋予相同的权重，并且权重满足归一化，经过第一个分类器分类之后，
计算第一个分类器的权重alpha值，并且更新每一个训练样例的权重，然后再进行第二个分类器的训练，相同的方法.......
直到错误率为0或者达到指定的训练轮数，其中最后预测的标签计算是各系统*alpha的加权和，然后sign（预测值）。
可以看出，训练流程是串行的，并且训练样例的权重是一直在变化的，分错的样本的权重不断加大，正确的样本的权重不断减小。
AdaBoost元算法是boosting中流行的一种，还有其他的系统融合的方法，比如bagging方法以及随机森林。
对于非均衡样本的处理，一般可以通过欠抽样(undersampling)或者过抽样(oversampling)，欠抽样是削减样本的数目，
过抽样是重复的选取某些样本，最好的方法是两种进行结合的方法。
同时可以通过删除离决策边界比较远的样例。
(AdaBoost boosting systems dollar fusion algorithm is the most popular one, it plainly systems integration approach is a serial train and final weighted cumulative.
Specific process is: Each training example is given equal weight, and the weights satisfy normalization, after the first classifiers after
Calculating a first classifier weights alpha value for each sample and updates right weight training, and then the second classifier training, the same way .......
0, or until the specified error rate training rounds, wherein the label is the calculation of the final prediction system* alpha weighted and then sign (predicted value).
As can be seen, the training process is serial, and weight training examples is always changing, the right of the wrong sample weight continued to increase, the right to correct sample weight decreasing.
AdaBoost algorithm is an element, as well as other methods of boosting popular systems integration, such as bagging and random forest method.
For )
- 2014-07-09 19:24:29下载
- 积分：1
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henonowntry2
画出Henon映射的分岔图随参数a变化的图像，注释非常详细，代码效率也很高(Henon map shown in FIG bifurcation with a variation of image parameters, very detailed notes, also high code efficiency)
- 2020-11-10 10:19:46下载
- 积分：1
