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Iterate
will implement either Jacobi, Gauss-Seidel or SOR iterative techniques to solve the problem
- 2009-10-10 16:52:06下载
- 积分：1
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k_means
K均值聚类，输入聚类前的点集以及阈值，输出最后各个分类的中心点(K-means clustering, the input point set before clustering and threshold, output the final classification of the center of each)
- 2011-07-31 14:47:24下载
- 积分：1
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eetop.cn_OFDM
相干光OFDM的书以及源代码，光OFDM的圣经。(Coherent optical OFDM books and source code, optical OFDM Bible.)
- 2020-12-09 20:39:20下载
- 积分：1
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Texture-Segmentation
利用沈左右算子及直方图信息，提取目标区域的纹理特征。(Shen and histogram information about operator is employed to extract texture features of the target area
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- 2013-05-20 23:15:33下载
- 积分：1
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zuoye
MATLAB程序，用最陡下降实现LMS算法，设定不同的a值，可以验证该算法的收敛性，kalman算法和波束成型(MATLAB program, using the steepest descent LMS algorithm to achieve, set a different value, you can verify that the convergence of the algorithm, kalman algorithm and beam forming)
- 2010-05-21 17:19:45下载
- 积分：1
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29352719ISAR_Translation
压缩感知的算法，时间比较短，精度比较高。谢谢(Compressed sensing algorithm, the time is short, accuracy is relatively high. Thank you)
- 2011-11-20 16:41:06下载
- 积分：1
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matlabbianchenglizi
用matlab的100个编程例子，可以学习学习，供大家更好的理解掌握MATLAB。(100 matlab programming examples, you can learn, we can better understand and grasp the MATLAB.)
- 2012-11-18 09:39:42下载
- 积分：1
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Matlab
在图像处理与目标识别方面的应用实验，全篇论文，包括相关仿真。(The application experiments, image processing and target recognition in the paper, including the related simulation.)
- 2015-04-05 15:43:39下载
- 积分：1
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matla50cases
matlab编程实例，共50个，对学习MATLAB的同学大有益处(matlab programming examples, a total of 50, to learn the students a great advantage MATLAB)
- 2010-03-14 15:23:26下载
- 积分：1
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circonv
圆卷积与线卷积在FIR中的实现，通过程序还开深刻理解两者间的差别和各自优劣。
1.圆卷积用在被截出的某段数据中，此时，长度应该定为和输入数据长度一致（一般输入数据大于hn的数），这时圆卷积结果相当于某段被截断出来的数据以非截断的方式经过滤波而得出的结果；线卷积用在各自独立的，离散的数据中，若截断数据也用线性卷积来计算，那么就相当与这部分数据是与源数据是独立的，
得出的结果时域两端会变长，但频谱基本上一样的。差别可以想象。
2.注意圆卷积最开始的输入数据的次序，构造矩阵时要注意。(Circular convolution with the line convolution in the FIR implementation, the program also opened a deep understanding of the difference between the two and their respective pros and cons. A circular convolution with cut out a certain period of data At this point, the length should be set for the same length as the input data (typically input data greater than hn the number), when the circular convolution is equivalent to a certain the results of the truncated data to the non-truncated filtered line convolution with a separate, discrete data, truncated data with a linear convolution calculation, then the equivalent of this part of the data is independent of the source data, the results of both ends of the time domain becomes long, but the spectrum is basically the same. The difference can imagine. Note that the order of the circular convolution of the input data to construct matrix.)
- 2012-06-28 04:36:25下载
- 积分：1
