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1111RVM
关联向量机，很好的工具箱，有用于分类和回归的例子(Relevance vector machine, a good toolbox, there are examples for classification and regression)
- 2013-12-06 12:08:39下载
- 积分：1
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experiment
基于高斯差图的线条画生成的算法，matlab实现(The algorithm based the Gaussian differential graphic lines painted generated, matlab realize)
- 2012-10-27 10:50:00下载
- 积分：1
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Chapter05
通过MATLAB来计算环形天线的辐射阻抗，远场方向性图，还有极坐标方向图(By MATLAB to calculate the radiation resistance of loop antennas, far-field directivity pattern, as well as polar pattern
)
- 2010-12-04 03:35:02下载
- 积分：1
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voice-activity-detection-algorithm-
基于小波分析和支持向量机的语音激活检测
一种方法(Based on wavelet analysis and support vector machine voice activity detection)
- 2011-05-02 10:52:46下载
- 积分：1
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tspopf4.1_w32
原对偶内点法的matlab程序，应用在matpower潮流计算中(Primal-dual interior point method matlab procedures used in the calculation of the trend matpower)
- 2021-03-22 15:29:17下载
- 积分：1
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LPC
利用LPC算法实现对于语音信号的特征提取，将一帧的语音信号用简化模型的参数来表示(The use of the LPC algorithm to extract to achieve For the the characteristics of of the voice signal, will the the a of the voice to represent the by the signal with a simplified the the the parameters of of the model)
- 2012-06-05 23:03:16下载
- 积分：1
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arfima_est_v2
一款时间序列预测的软件，是改进的时间序列预测(A time series forecasting software, is an improved time series prediction)
- 2014-10-08 10:58:33下载
- 积分：1
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duoziyouduMode
文件多自由度.m为单独的文件，单独执行即可，可以得到一个3自由度的系统受到脉冲作用的结果。
文control.m,plotresult.m,duoziyoudu.mdl为一个完整的程序，先执行control.m，而后执行duoziyoudu.mdl文件，最后plotresult.m文件画出结果。使用的是kobe地震波.(Document multi-degree of freedom. M as a separate document, a separate implementation can, you can get a 3-DOF system are the result of impulse. Text control.m, plotresult.m, duoziyoudu.mdl for a complete procedure, the first implementation of control.m, then the implementation of duoziyoudu.mdl documents, the final document drawn plotresult.m results. Kobe using seismic waves.)
- 2007-09-27 09:05:28下载
- 积分：1
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walsh
These are orthogonal complimentary code version of walsh codes which are or to be used in cdma systems.
- 2009-03-23 18:07:05下载
- 积分：1
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pca
PCA技术的一大好处是对数据进行降维的处理。我们可以对新求出的“主元”向量的重要性进行排序，根据需要取前面最重要的部分，将后面的维数省去，可以达到降维从而简化模型或是对数据进行压缩的效果。同时最大程度的保持了原有数据的信息。
(A major advantage of PCA technology is reduce the dimension of the data processing. We can calculate the new " principal component" vector order of importance, according to need to take the most important part of the front, eliminating the rear of the dimensions, dimension reduction can be achieved to simplify the model or the effect of data compression . At the same time maintaining the greatest degree of the original data.)
- 2010-10-27 12:03:34下载
- 积分：1
