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grnn
广义回归神经网络GRNN用于对癫痫发作的分类，包括RBF(Generalized regression neural network GRNN for the classification of epileptic seizures, including the RBF)
- 2011-05-25 16:54:33下载
- 积分：1
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load-flow-analysis-and-fault-analysis
load flow analysis and fault analysis of power system. electrical power verses load angle (delta) plot for different values of Pe. calculation of initial, maximum and critical load angles for the given power system
- 2013-03-04 22:05:07下载
- 积分：1
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Bin2Hex32
Convert binary to 32 bit hexa decimal value
- 2014-02-03 14:31:38下载
- 积分：1
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AQ430_C_Code
matlab的关于bpsk的仿真代码，对正在学习bpsk的朋友很有帮助(simulation code, matlab on bpsk friends are learning bpsk helpful)
- 2013-01-09 22:58:54下载
- 积分：1
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Ukf
UKF code for Unscented Kalman Filter sigma calculation(UKF code)
- 2014-08-29 16:41:48下载
- 积分：1
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mahlen
用鼠标画任意点,最终想用MatLab GUI开发画电机绕线图(Draw points with mouse)
- 2009-05-11 21:33:16下载
- 积分：1
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HSV-histogram
说明： HSV颜色空间较RGB空间更适合人的感官视觉，在HSV空间统计图像的分布特征并用于检索比在RGB空间的效果较好。(HSV color space than RGB space is more suitable for people’s senses of sight, in the HSV spatial statistical distribution of the image and is used to retrieve than in RGB space effective.)
- 2010-03-18 14:30:54下载
- 积分：1
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griewank
基准测试函数中的griewank函数代码(Griewank test function in the function code)
- 2011-04-24 09:33:06下载
- 积分：1
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xinxilun
信息论与编码作业,里面是信息论与编码的作业啊(Information theory and coding jobs, which is information theory and coding jobs ah)
- 2013-10-27 09:45:06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
