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ofdmandLeastSquares
OFDM与最小二乘算法，含有几个例子，希望对大家有用(OFDM and the least square algorithm，Contains a few examples，Hope to be useful)
- 2010-08-15 15:26:58下载
- 积分：1
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doa_cs_ty_dj
CS-MIMO雷达参数估计，这个主要是单基地MIMO雷达的例子(CS-MIMO radar parameter estimation, this is a major example of monostatic MIMO radar)
- 2021-03-26 20:19:13下载
- 积分：1
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Document1
its matlab code for lane detection algorithm for intelligent highway
- 2014-01-17 02:51:58下载
- 积分：1
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ML_and_MAP
最大似然（ML）准则和最大后验概率（MAP）准则Matlab仿真(Maximum Likelihood (ML) criteria and maximum a posteriori probability (MAP) criteria Matlab simulation)
- 2007-08-02 17:34:26下载
- 积分：1
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LGIF
说明： 这是“Active contours driven by local and global intensity fitting energy with application to brain MR image segmentation”（简称LGIF模型）的MATLAB源代码。LGIF模型是非常重要局部区域活动轮廓模型, 它结合了CV模型和LBF模型各自的优点。(This is the "Active contours driven by local and global intensity fitting energy with application to brain MR image segmentation" (referred to as LGIF model) of the MATLAB source code. LGIF model is very important to local area active contour model, which combines the CV model and the merits of LBF model.)
- 2011-03-17 17:02:39下载
- 积分：1
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EKFLocalisation
non-linear Kalman based localisation in a field of landmarks
- 2012-03-22 18:04:59下载
- 积分：1
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bande-limination-filter
使用带通滤波器对图像进行处理，滤除不必要的杂波(Using band-pass filter to do image processing, filtering unnecessary clutter)
- 2012-09-23 17:32:46下载
- 积分：1
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tspjinjisousuo
禁忌搜索算法的matlab实现，以旅行商问题为例，使用该算法找出满意解。(Tabu search algorithm matlab realize, to the traveling salesman problem, for example, the use of the algorithm to find satisfactory solution.)
- 2013-11-24 17:41:09下载
- 积分：1
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ULA
关于均匀线性阵列中阵元个数和阵元间距的matlab仿真例程(About a uniform linear array and the array element number of the array element spacing matlab simulation routines)
- 2021-04-13 14:58:56下载
- 积分：1
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PNN
概率神经网络(Probabilistic Neural Network)是由D.F.Speeht博士在1989年首先提出，是径向基网络的一个分支，属于前馈网络的一种。它具有如下优点：学习过程简单、训练速度快；分类更准确，容错性好等。从本质上说，它属于一种有监督的网络分类器，基于贝叶斯最小风险准则。(The rate neural network, first proposed in 1989, is a branch of the RBF network and is one of the feedforward networks. It has the following advantages: the learning process is simple, the training speed is fast, the classification is more accurate, the fault tolerance is good, and so on. In essence, it belongs to a supervised network classifier based on Bayesian minimum risk criteria.)
- 2018-01-05 17:32:11下载
- 积分：1
