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Modelo_jakes
Otro modelo de Jakes para señ ales
- 2009-05-22 01:34:37下载
- 积分：1
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Robotpathplanning
机器人路径规划；师兄做的一个程序，拿过来给大家分享；希望对大家有帮助；(Robot path planning 师兄to do a procedure, get back to everyone to share want to have to help everyone )
- 2009-03-10 15:18:58下载
- 积分：1
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Numerical-
Numerical method e book
- 2014-12-07 13:43:08下载
- 积分：1
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enkf_1d_matlab
数值模拟中的历史拟合练习程序。包括卡尔曼滤波的核心参数更新算法。(This code is used for history matching, including the core algorithm of parameter updating.)
- 2012-10-26 11:36:03下载
- 积分：1
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matlab
matlab程序资料请大家指教，辛苦大家啦(matlab program information, please advise, hard everyone!)
- 2012-07-13 09:35:51下载
- 积分：1
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Gradient-Descent
最小梯度下降算法，有测试实例，可以直接运行。求最小值，回归都可以(The minimum gradient descent algorithm, test cases can be run directly. For the minimum, return all OK)
- 2014-10-14 14:05:50下载
- 积分：1
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kalman
Extended Kalman Filter
- 2011-11-07 20:04:12下载
- 积分：1
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Matlab_MPEG_1_2_8
LSB Audio Algorithm.. Audio Stegnography code
- 2012-01-23 13:14:03下载
- 积分：1
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lfmfft
线性调频信号脉冲压缩MATLAB仿真程序(Linear FM Pulse Compression MATLAB simulation program)
- 2010-03-07 01:31:54下载
- 积分：1
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four-wei-scale
在基于Mean-Shift的目标跟踪算法中，尺度自适应机制是算法研究的一个重要方向。一种典型的方法采
用Lindeberg的尺度空间理论以获取目标尺度信息。但现有算法中将尺度由2．D矢量压缩为1一D量，未能精细地
刻画目标仿射变换时的尺度变化，从而限制了算法的适用范围。为此，该文将尺度维1．D滤波推广至2一D，构造得
到了相应的垂D尺度空间，并利用窄间维和尺度维的Mean-Shift交替迭代，实现了同时在空间位置和尺度方向对
目标的有效跟踪，提高了算法在目标尺度变化时的自适应性，并扩大了算法的适用范围。
关键(Scale adaptive mechanism in the target tracking algorithm based on Mean-Shift algorithm is an important direction of research. A typical method using Lindeberg' s scale space theory to obtain the target scale. However, the existing algorithms will scale from 2. D vector compression for 1-D volume, not fine to portray the target affine transformation of scale changes, thus limiting the scope of application of the algorithm. To this end, the paper will scale dimension. D filter to the 2-D structure has been the vertical D scale space and the use of narrow inter-dimension and scale dimension of the Mean-Shift alternating iteration, effective tracking of the target position in space and scale direction to improve the self-adaptive algorithm when the target scale changes, and to expand the scope of application of the algorithm. Key)
- 2012-06-08 22:53:43下载
- 积分：1
