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Ssimmple_jpegu
简易的JPEG压缩程序源码(MMatlab实现)
(Easy JPEG compression program source (MMatlab implementation))
- 2012-09-15 14:17:31下载
- 积分：1
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cfar
MATLAB雷达检测CFAR.这是CA-CFAR程序。里面包含所需要的函数和数据文件。(This is simple cell-averaging lead/lag CFAR.)
- 2021-04-27 13:58:45下载
- 积分：1
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slidingmode
滑模变结构-刘金昆，matlab ,simulink,仿真(Sliding Mode Variable Structure- Liu Jinkun, matlab, simulink, simulation)
- 2009-10-12 11:49:04下载
- 积分：1
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SOM
Simple SOM(Self Organization Map) source code in Matlan(Graphical with GUI) that have siple DataSet in 2 dimension.
- 2014-08-13 13:14:39下载
- 积分：1
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RBFNN_PID
基于局部误差的RBF神经网络辨识+PID自校正控制MATLABC程序(RBF neural network based local error identification+ PID self-tuning control MATLABC program)
- 2014-11-05 20:53:04下载
- 积分：1
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fengsupu
包含试验得到的风速普，Davenport谱，Kaimal谱，Karman谱，Simiu风速谱，Harris风速谱。(This source contains several wind speed spectrum,such as Davenport spectrum，Kaimal spectrum，Karman spectrum，Simiu spectrum，Harris spectrum.)
- 2020-12-09 11:39:19下载
- 积分：1
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Astar
很好的一个A*算法，可以自己选择障碍物和目标点(A* algorithm is a very good, you can choose the target point and obstacle)
- 2021-01-15 21:38:45下载
- 积分：1
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2D-oceanwave
用matlab模拟二维海面的程序，第一步求出海面的公式，第二步利用求出的公式画出海面(Matlab simulation of two-dimensional surface using the procedure, the first step to derive the formula for the sea, and the second step to derive the formula to use to draw the sea)
- 2008-06-04 16:41:55下载
- 积分：1
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shapletsurf
Function reconstructs an estimate of a surface from its surface normals by correlating the surface normals with that those of a bank of shapelet basis functions. The correlation results are summed to produce the reconstruction. The sumation of shapelet basis functions results in an implicit integration of the surface while enforcing surface continuity.
Note that the reconstruction is only valid up to a scale factor (which can be corrected for). However the reconstruction process is very robust to noise and to missing data values. Reconstructions (up to positive/negative shape ambiguity) are possible where there is an ambiguity of pi in tilt values. Low quality reconstructions are also possible with just slant, or just tilt data alone. However, if you have full gradient information you are better off with the Frankot Chellappa algorithm below.
- 2012-05-28 12:11:57下载
- 积分：1
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yicichafen
利用差分法，将数据拟合，从而可以更好的辨识非线性系统的损失位置。(By using the difference method and fitting the data, the loss location of the non-linear system can be identified better.)
- 2020-06-25 15:40:01下载
- 积分：1
