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DDC
说明： 用6阶CIC实现，加噪声仿真。序内加详尽注释。(6 bands CIC realized, plus noise simulation. Sequence with a detailed note.)
- 2008-12-06 08:50:11下载
- 积分：1
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gs831
数据模型归一化，模态振动，加入重复控制，包括面积、周长、矩形度、伸长度。( Normalized data model, modal vibration, Join repetitive control, Including the area, perimeter, rectangular, elongation.)
- 2017-05-11 10:40:27下载
- 积分：1
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K-means
说明： K-means聚类，将多个点根据各自的坐标，一定的算法分析，在matlab上可以看到聚类结果图像，帮助人们更好的分类不同的点，确定选址问题(K-means clustering, according to the coordinates of multiple points, a certain algorithm analysis, in Matlab can see the clustering results image, help people better classify different points, determine the location problem.)
- 2019-12-21 14:20:17下载
- 积分：1
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matlab_help
matlab函数,运算符速查，doc格式(matlab function Quick Fact)
- 2009-12-16 16:33:28下载
- 积分：1
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pso
基于单因子方差分析粒子群算法,加速因子的设置对算法基本性能(Based on one-way ANOVA PSO algorithm acceleration factor setting basic performance)
- 2013-12-07 09:17:49下载
- 积分：1
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paper3
Bounds on the capacity of OFDM underspread frequency selective fading channels
- 2015-04-04 16:17:49下载
- 积分：1
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ValenceaArousal
matlab环境下的Q学习算法代码,从收费网站下的，可以运行。(reinforcement learning code in MATLAB)
- 2011-04-19 09:22:55下载
- 积分：1
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matlab_pipe
给水管网优化课本中的例题。计算井水管网的汇水管的水头损失。并且有图。(calculate the head lost of pipe net .)
- 2011-05-23 10:44:52下载
- 积分：1
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mMeanShift-Soa
matlab编写的meanshift程序，在南加州大学例例程的基础上做了修改，在初期学习meanshift上非常有用
(matlab prepared meanshift procedures routine in the University of Southern Callifornia made the basis of changes in the initial study is very useful meanshift
)
- 2012-05-15 11:17:27下载
- 积分：1
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KWFLICM
we present an improved fuzzy
C-means (FCM) algorithm for image segmentation by introducing
a tradeoff weighted fuzzy factor and a kernel metric. The
tradeoff weighted fuzzy factor depends on the space distance of
all neighboring pixels and their gray-level difference simultaneously.
By using this factor, the new algorithm can accurately
estimate the damping extent of neighboring pixels. In order to
further enhance its robustness to noise and outliers, we introduce
a kernel distance measure to its objective function. The new
algorithm adaptively determines the kernel parameter by using
a fast bandwidth selection rule based on the distance variance
of all data points in the collection. Furthermore, the tradeoff
weighted fuzzy factor and the kernel distance measure are both
parameter free. Experimental results on synthetic and real images
show that the new algorithm is effective and efficient, and is
relatively independent of this type of noise.
- 2021-04-15 22:28:54下载
- 积分：1
