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bwdistsc
This function computes Euclidean distance transform for 3D binary image with non-trivial aspect ratio (i.e. anisotropic pixels). The algorithm uses fast optimized line-scans and is actually faster than MATLAB s BWDIST implementation of search on optimized kd-tree for many cases. It also uses cell-array representation for internal data, and thus is less demanding to physical memory.
- 2007-10-10 15:08:07下载
- 积分：1
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dog
msp430x44x系列单片机的看门狗操作(DOG USED IN MSP 430)
- 2009-07-17 17:21:14下载
- 积分：1
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dos
another progaram that has been in matlab
- 2013-07-11 09:36:50下载
- 积分：1
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NGA
小生境遗传算法，该算法易于找出优化问题的所有局部最优解和全局最优解(Niche Genetic Algorithm. The algorithm is easy to find the optimization problem in all local optimal solution and the global optimal solution)
- 2014-11-17 21:46:00下载
- 积分：1
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matlab
java的matlab文件，希望对大家有用，一起学习吧(The matlab file java, hope for all of us together to learn it)
- 2011-11-12 10:15:15下载
- 积分：1
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Voltage sags are one of the main problems
Voltage sags are one of the main problems in transmission
and distribution grids with high penetration of distributed
generation. This paper proposes a voltage support control scheme
for grid-connected power sources under voltage sags. The control
is based on the injection of reactive current with a variable ratio between
positive and negative sequences. The controller determines,
also, the amount of reactive power needed to restore the dropped
voltage magnitudes to new reference values confined within the
continuous operation limits required in grid codes. These reference
values are chosen in order to guarantee low current injection
when fulfilling the voltage support objective. Selected experimental
results are reported in order to validate the effectiveness of the
proposed control.
- 2014-04-17 21:22:47下载
- 积分：1
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Character-Recognition(Lib-SVM)
支持向量机的研究现已成为机器学习领域中的研究热点，其理论基础是Vapnik[3]等提出的统计学习理论。统计学习理论采用结构风险最小化准则，在最小化样本点误差的同时，缩小模型泛化误差的上界，即最小化模型的结构风险，从而提高了模型的泛化能力，这一优点在小样本学习中更为突出。SVM理论正是在这一基础上发展而来的，经过十几年的研究和发展，已开始逐步应用于一些领域。在解决小样本、非线性及高维模式识别问题中表现出许多特有的优势，已经在模式识别、函数逼近和概率密度估计等方面取得了良好的效果。( Support Vector Machine (SVM) is a new machine learning technique in recent years developed based on statistical learning theory (SLT). It wins popularity due to many attractive features and emphatically performance in the fields of nonlinear and high dimensional pattern recognition. The theory and algorithm of SVC is studied at first, then, simulation is to recognize handwritten numeral with the Lib-SVM toolbox. At last, we study the result, which shows that the SVC can do the classification problem with good performance, shorter operation time and is more suitable for real-time implementation.)
- 2011-05-22 08:57:15下载
- 积分：1
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code
分析了pure aloha与slot aloha协议的时延(analysis time delayof pure aloha and slot aloha)
- 2012-05-22 10:37:39下载
- 积分：1
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Simulacao_01
Simulation of basic circuit eletric
- 2014-12-24 10:30:00下载
- 积分：1
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newtpf
电力系统潮流计算matlab牛拉法潮流计算(Niu Lafa Power Flow Calculation)
- 2020-06-20 12:40:02下载
- 积分：1
