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segmentation_bpnn
医学图像识别方法，先分割再使用bp神经网络进行分类(medical image recognition, first division reuse bp neural network classification)
- 2007-03-30 16:29:09下载
- 积分：1
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mycommdocbertool4_1
4QAM modulation using BERTOOL
- 2011-08-03 14:14:42下载
- 积分：1
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energygray1
计算视频图像中每一帧的能量,matlab 代码，可以用于分析图像原能量与编码解码后，误差与原图像能量的倍数关系(computing the energy of each frame in image processing)
- 2013-11-27 20:58:33下载
- 积分：1
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matlab-code-of-sr
运用matlab仿真随机共振 。哪有那么多的说明(failed to translate)
- 2013-05-03 07:58:48下载
- 积分：1
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MY_QPSK
Another QPSK MODEM simulation
- 2009-06-19 07:50:20下载
- 积分：1
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Book_MATLAB_program
MATLAB基础与编程入门 张威!详细讲解拉初步的知识，对ＭＡＴＬＡＢ初学者很有用处(Introduction to MATLAB programming foundation and Zhang Wei! Detailed preliminary drawing on the knowledge of MATLAB is very useful for beginners)
- 2008-07-27 16:48:40下载
- 积分：1
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wangluo
说明： 输入网络参数，从而得到网络的关联矩阵、基本回路矩阵和基本割集矩阵Qf(Enter the network parameters, and thus obtain the network incidence matrix, fundamental circuit matrix and the basic cut-set matrix Qf)
- 2010-03-30 18:47:33下载
- 积分：1
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Levinson
用Levinson算法，Burg算法，ARMA模型法，MUSIC算法来估算功率谱。并进行比较。(With Levinson algorithm, Burg algorithm, ARMA model method, MUSIC algorithm to estimate the power spectrum. And compared.)
- 2013-11-08 13:25:55下载
- 积分：1
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GM1_1
灰色模型的matlab源码，刚注册成为会员，请大家多多指教(GM1_1 matlab example)
- 2011-05-31 21:07:38下载
- 积分：1
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ReBEL-0.2.7
包括kf，ekf，pf，upf可以自己定制模型参数，完成滤波(ReBEL currently contains most of the following functional units which can be used for state-, parameter- and joint-estimation:
Kalman filter
Extended Kalman filter
Sigma-Point Kalman filters (SPKF)
Unscented Kalman filter (UKF)
Central difference Kalman filter (CDKF)
Square-root SPKFs
Gaussian mixture SPKFs
Iterated SPKF
SPKF smoothers
Particle filters
Generic SIR particle filter
Gaussian sum particle filter
Sigma-point particle filter
Gaussian mixture sigma-point particle filter
Rao-Blackwellized particle filters
The italicized algorithms above are not fully functional yet (or included in the current release), but will be in the next or future releases. The code is designed to be as general, modular and extensible as possible, while at the same time trying to be as computationally efficient as possible. It has been tested with Matlab 7.2 (R2006a).
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- 2011-11-30 10:56:24下载
- 积分：1
