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LPS
pls算法的一个小例子,亲测可用,是入门的必选(pls a small example of the algorithm, pro-test available)
- 2013-04-08 21:23:36下载
- 积分：1
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30477-
MATLAB数字信号处理代码及ppt，源码和PPT教学文档(MATLAB digital signal processing code, and ppt, source, and PPT teaching document)
- 2012-07-31 00:41:41下载
- 积分：1
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MATLAB6.5-auxiliary-image-processing
matlab 6.5 辅助图像处理，飞思卡尔技术研发中心编著(matlab 6.5 assisted image processing, Freescale Technology R & D Center ed)
- 2014-10-20 21:20:44下载
- 积分：1
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steganography
steganography function to using DCT algorithms
- 2011-11-02 05:00:00下载
- 积分：1
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DSP_FORTRAN
胡广书 数字信号处理-理论,算法与实现的书中源程序 fortran版本(HU-book Digital Signal Processing- theory, algorithms and implementation fortran source code version of the book)
- 2013-11-04 20:04:17下载
- 积分：1
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DT_hetero_wsn
Direct transmission energy protocol for Wireless sensor networks for heterogeneous setup.
- 2015-06-13 15:14:38下载
- 积分：1
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Matlab_workshop4
introduction to matlab part 4 and examples
- 2009-06-04 00:30:37下载
- 积分：1
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ukf
无迹卡尔曼滤波UKF是重要的非线性滤波方法。它采用UT变换的方法，不再近似系统的非线性方程，它仍然用高斯随机变量表示状态分布，不过是用特定选择的样本点加以描述，每个点叫一个高斯点，它从系统状态的概率密度函数中取出；然后，按系统的真实模型演化，得到非线性演化后的σ点，使得样本均值和样本方差是真实均值和真实方差的好的近似。
在这个程序中，实现了基于UKF的滤波方法，并且建立了两种仿真环境进行实验。(Unscented Kalman filter UKF is an important nonlinear filtering method. It uses the UT transformation method, no similar system of nonlinear equations, it still says the state with the Gaussian distribution of random variables, but the specific choice is to describe the sample points, each point is called a Gaussian point, it is from probability density function of the system state to remove then, according to the true model of evolution of the system obtained after the nonlinear evolution of σ point, making the sample mean and sample variance is true variance of the mean and the true good approximation.
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- 2011-05-24 17:09:14下载
- 积分：1
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plsa
实现了PLSA的MTLAB算法，分门别类，较详细。(PLSA algorithm to achieve the MTLAB, categories, more detailed.)
- 2011-10-08 16:46:50下载
- 积分：1
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m_map
应用matlab绘制各样投影的地图，以及相关的图形绘制等等等(plot the map with matlab, that is a very useful tool)
- 2015-04-08 19:20:17下载
- 积分：1
