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GDA
Generalised Discriminant Analysis
- 2009-08-22 21:37:01下载
- 积分：1
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tsmQPhild
算法是原始对偶算法，该方法充分的剖析了优化问题的结构，是求解二次规划问题的一个较好的算法。求解比采用matlab 的Quardprog求解速度快许多！(Algorithm is the original dual algorithm, this method is fully analyzed the optimization of structure, is to solve the quadratic programming problem of a good algorithm. To solve the fast Quardprog than using matlab to solve many!)
- 2014-01-09 14:42:59下载
- 积分：1
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完整的Mfcc和Gmm的说话人识别matlab例程
多机电力系统仿真及其潮流计算，研究生时的现代信号处理的作业，FIR 底通和带通滤波器和IIR 底通和带通滤波器，用于时频分析算法，DC-DC部分采用定功率单环控制，分析了该信号的时域、频域、倒谱，循环谱等。
- 2022-12-15 21:55:03下载
- 积分：1
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MATLABprogramming
MATLAB程序设计与典型应用(含源程序)(MATLAB programming and typical applications (including source code))
- 2010-10-05 17:12:11下载
- 积分：1
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GA-MATLAB
MATLAB环境下的遗传算法源程序代码压缩包(MATLAB environment genetic algorithm source code package)
- 2008-07-23 14:20:21下载
- 积分：1
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my_dct
用matlab做的基于DCT变换的图像压缩源码，先把图像分成8X8 的子块，然后做DCT变换，再量化，在恢复重建图像(Using matlab to do DCT-based transform image compression source code, first image is divided into 8x8 sub-block, and then make DCT transform, and then quantified, at the resumption of the reconstructed image)
- 2020-08-09 12:08:29下载
- 积分：1
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ekfukf_1_3.tar
捷联惯性导航系统滤波程序，matlab源代码(Strapdown inertial navigation system, filtering procedures, Matlab source code)
- 2012-05-20 16:18:19下载
- 积分：1
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SIFT
用matlab写的sift算法的全过程，用于提取特征点，是图像识别的一种好算法(The algrithm of sift)
- 2011-09-23 22:05:11下载
- 积分：1
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FDTD-1D-in-Nonmagnetic-Plasma
This FDTD 1D simulation based on Dennis Sullivan book s. Wave propagation in vacuum background and penetrates Nonmagnetic Plasma.
- 2012-11-13 15:49:13下载
- 积分：1
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matlab表情识别
Matlab表情识别，特征脸[1 ]作为面部表情分类的方法。首先，利用训练图像创建低维人脸空间（pca）。这是通过训练图像集主成分分析（PCA）及图片主成分分析（即具有较大特征值的特征向量）获得的。
结果，所有的测试图像以所选择的主成分表示，计算投影图像与所有投影列车图像的欧几里得距离，选择最小值以找出与试验图像最相似的训练图像。(The feature face [1] is used as a facial expression classification method. Firstly, a low-dimensional face space (pca) is created using training images. This is obtained by training principal component analysis (PCA) of image set and principal component analysis of image (i.e. eigenvectors with larger eigenvalues).
As a result, all the test images are represented by the selected principal components, the Euclidean distance between the projected image and all the projected train images is calculated, and the minimum value is selected to find the training image most similar to the test image.)
- 2020-12-17 10:59:11下载
- 积分：1
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