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burckhardht12
滑移率的模拟,应用simulink实现的程序(simulink of U)
- 2012-03-26 09:51:09下载
- 积分：1
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117143168performance_of_MIMO
在瑞利信道下MIMo系统性能的仿真的编程实例(In Fading Channel MIMo system performance simulation programming examples)
- 2010-05-18 00:48:10下载
- 积分：1
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feiji
说明： 使用GS理论简单实现相位重建的算法，图片包含在内(Simple Phase Reconstruction Using GS Theory)
- 2020-06-21 00:40:02下载
- 积分：1
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work
说明： matlab汇编语言，比较高质量的代码和文件，可以运行，很成功(language of matlab important)
- 2010-03-18 19:05:57下载
- 积分：1
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some_sparse_echo_cancellation_method
this package includes some sparse echo cancellation methods. These methods are adaptive filters.
- 2010-05-26 02:27:19下载
- 积分：1
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clusterImg
This function implements kmeans clustering on an input RGB (m x n x 3) image.
- 2011-04-24 19:41:53下载
- 积分：1
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fmrlc_tanker
大型邮轮的matlab实现 我觉得很有用 其中有详细的源代码 和英文注释(Matlab implementation of large cruise ships which I find very useful and detailed source notes in English)
- 2011-10-24 12:22:03下载
- 积分：1
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bin_state
关于turbo码状态转移的matlab仿真程序，详细描述的状态之间的转移关系(Turbo codes on the state transition of the matlab simulation program, a detailed description of the transfer of the state of the relationship between the)
- 2009-11-24 18:45:44下载
- 积分：1
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em1
使用最大期望算法可以在概率模型中寻找参数最大似然估计。(Using the maximum expected algorithm can seek parameters of maximum likelihood estimation in the probabilistic model)
- 2014-08-17 11:22:14下载
- 积分：1
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final-code
This paper presents a new approach to image segmentation using Pillar K-means algorithm. This
segmentation method includes a new mechanism for grouping the elements of high resolution images in order to
improve accuracy and reduce the computation time. The system uses K-means for image segmentation optimized by
the algorithm after Pillar. The Pillar algorithm considers the placement of pillars should be located as far from each
other to resist the pressure distribution of a roof, as same as the number of centroids between the data distribution. This
algorithm is able to optimize the K-means clustering for image segmentation in the aspects of accuracy and
computation time. This algorithm distributes all initial centroids according to the maximum cumulative distance metric.
This paper evaluates the proposed approach for image segmentation by comparing with K-means clustering
algorithm and Gaussian mixture model and the participation of RGB, HSV, HSL and CIELAB color spaces.
- 2014-08-18 13:27:11下载
- 积分：1
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