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growcut33
grow cur segmentation for image
- 2010-12-30 16:27:07下载
- 积分：1
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filter0
Useing the MATLAB command remez to obtain a low pass filter z(n) with a cutof frequency
of 40 Hz at a sample rate of 1000 Hz.
- 2009-07-02 16:19:53下载
- 积分：1
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myCatMapping
采用猫映射图像加密，有二维三维到四维。都是已经在matlab运行通过的(Cat mapping using image encryption, there are two-dimensional to three-dimensional four-dimensional)
- 2013-08-15 21:01:01下载
- 积分：1
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IIRfitler
IIR FILTER DESING IN MATLAB
- 2011-10-14 02:00:05下载
- 积分：1
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WaveGPU_Example
This example solves a 2nd order wave equation: utt = uxx + uyy, with u = 0 on the boundaries. It uses a 2nd order central finite difference in time and a Chebyshev spectral method in space (using FFT). It compares to running the same algorithm on the GPU using gpu-arrays and built-in functions available for the GPU.
- 2013-05-11 17:51:21下载
- 积分：1
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KMEANS
K-Means动态聚类算法源程序。可以用来发现社团结构。(Dynamic K-Means clustering algorithm source code. The structure can be used to find associations.)
- 2010-01-07 15:47:30下载
- 积分：1
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SA1
Hybrid Simulated annealing for synthesis of fiber Bragg grating
- 2010-01-08 23:04:28下载
- 积分：1
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MonteCarlo
Ｍ＝４正交信号时数字通信系统进行蒙特卡罗仿真程序，当均值分别等于０，０.１，１.０，２．０时完成１００００个比特的仿真并求出误比特概率。绘出理论误码率和蒙特拉罗仿真的差错率并进行比较这俩个结果，并绘出每个均值情况下判决器的１０００个接受信噪比抽样(M = 4 orthogonal signals in digital communication systems Monte Carlo simulation program, when the mean, respectively, equivalent to 10,000 completed 0,0.1,1.0,2.0 simulation bit and bit error probability are obtained. Mapping theory and蒙特拉罗BER simulation这俩error rate and compare results, and the mean circumstances of each mapped)
- 2008-07-08 14:08:34下载
- 积分：1
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SDROM
A signal-dependent rank ordered mean (SD-ROM) filter-a new approach for removal of impulses from highly corrupted images
- 2013-07-15 00:15:50下载
- 积分：1
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elm_example
极限学习机（extreme learning machine）ELM是一种简单易用、有效的单隐层前馈神经网络SLFNs学习算法。2006年由南洋理工大学黄广斌副教授提出。传统的神经网络学习算法（如BP算法）需要人为设置大量的网络训练参数，并且很容易产生局部最优解。极限学习机只需要设置网络的隐层节点个数，在算法执行过程中不需要调整网络的输入权值以及隐元的偏置，并且产生唯一的最优解，因此具有学习速度快且泛化性能好的优点。(Extreme Learning Machine (extreme learning machine) ELM is an easy-to-use and effective single hidden layer feedforward neural network the SLFNs learning algorithm. 2006 by the Nanyang Technological University Associate Professor Huang Guangbin. Traditional neural network learning algorithm (BP) artificial network training parameters, and it is easy to generate a local optimal solution. Extreme Learning Machine network only need to set the number of hidden nodes, the algorithm implementation process does not need to adjust the network input weights and hidden element of bias, and only optimal solution, so the learning speed and generalization good performance advantages.)
- 2013-03-29 13:05:47下载
- 积分：1
