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GDFNN
GDFNN 广义动态神经网络 伍世虔书的第八章程序(GDFNN generalized dynamic neural network Ng Sai-kuen procedures of Chapter VIII of the book)
- 2010-06-09 11:47:27下载
- 积分：1
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Matlab600
matlab编程常用的程序范例，有助于日常开发方便，可直接调用。(matlab programming examples of commonly used procedures to help facilitate the daily development, can be called directly.)
- 2010-10-29 09:05:54下载
- 积分：1
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SystemEquations
Code matlab sovle system equation by some numerical method.
- 2010-01-03 22:56:05下载
- 积分：1
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estimate_hurst_exponent
估计Hurst指数的matlab代码，可以分析股票市场上的特点。(estimate hurst exponent)
- 2012-04-15 21:12:20下载
- 积分：1
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M-call-C
混合编程时，M文件中调用C语言函数，精通matlab编程一书的例程，希望有帮助。(mixed programming, the paper called M C language function, proficient Matlab programming routines in a book. hope it helps.)
- 2007-03-27 16:11:32下载
- 积分：1
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遗传算法PPT和案例分析及源程序实现
说明： 如何使用遗传算法，里面有ppt教程与案例分析，遗传算法与优化问题(How to Use Genetic Algorithms)
- 2019-01-25 20:06:06下载
- 积分：1
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MIMOchannel_matlab
一篇经典的mimo信道模型及其matlab源程序，对mimo及信道模型学习很有好处。(A classical MIMO channel model and its matlab source of MIMO channel model and a very good learning.)
- 2008-03-22 21:00:20下载
- 积分：1
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DQ
说明： 卫星天线升线,保证能看外国台,是我用了三个月的时间编写而成,是我们学习卫星天线设计的理想程序(Satellite antenna booster line, guaranteed to see a foreign station, I spent three months been prepared by the satellite antenna design is the ideal learning program)
- 2010-10-06 20:50:01下载
- 积分：1
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image_segment
1）基于最大类间最大距离比准则的图像分割.m
2）最大熵准则的图像分割.m(1) The maximum distance based on the maximum between-class image segmentation than the guidelines. M 2) guidelines for maximum entropy image segmentation. M)
- 2009-11-19 16:24:43下载
- 积分：1
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kalman
实现了1D,2D,3D空间自由度下的运动参数的扩展Kalman滤波算法，文章2008 IROS Visual SLAM for 3D Large-Scale Seabed Acquisition Employing Underwater Vehicles的具体实现。(a novel technique to align
partial 3D reconstructions of the seabed acquired by a stereo
camera mounted on an autonomous underwater vehicle. Vehicle
localization and seabed mapping is performed simultaneously
by means of an Extended Kalman Filter. Passive landmarks
are detected on the images and characterized considering 2D
and 3D features. Landmarks are re-observed while the robot
is navigating and data association becomes easier but robust.
Once the survey is completed, vehicle trajectory is smoothed by
a Rauch-Tung-Striebel filter obtaining an even better alignment
of the 3D views and yet a large-scale acquisition of the seabed.)
- 2009-12-23 14:41:30下载
- 积分：1
