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Untitled5
考虑到通信网络结点的可靠性，若要求任意一个结点出现故障时，其它结点间仍然能够保持通信畅通的可能性都达到90 ，请建立问题的数学模型，设计求解算法，并给出使总铺设费用最少的铺设方案(Considering the reliability of communication network nodes, if you want any one node fails, you can still keep communication flowing between the possibility of other nodes are reached 90 , please build a mathematical model of the problem, the design algorithm, and give up some laying scheme of total laying cost at least)
- 2014-09-04 17:54:04下载
- 积分：1
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matlab
功放预失真模型，matlab实现，用神经网络算法(power amplifier predistortion )
- 2021-03-16 15:09:21下载
- 积分：1
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image
基于变换编码的图像压缩及解压，含有离散余弦变换程序。(Transform based image compression and decompression coding)
- 2010-09-04 15:18:31下载
- 积分：1
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FEM2D
有限元平面三节点单元计算，输入对应的node、element、force、constrain文件即可计算(FEM 3 nodes)
- 2015-02-24 10:33:32下载
- 积分：1
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jihekalmangujiK
系统参数变化，用集合卡尔曼滤波器估计其变化(System parameters used to estimate the changes in the ensemble Kalman filter)
- 2013-12-25 00:12:24下载
- 积分：1
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Doc1
log of a structure 9 story
- 2013-12-20 16:32:03下载
- 积分：1
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BasicSnake_version2e
The basic snake segmentation (2d and 3d). A snake is an active (moving) contour, in which the points are attracted by edges and other boundaries. To keep the contour smooth, an membrame and thin plate energy is used as regularization.
- 2011-04-27 07:01:37下载
- 积分：1
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bzh5
自己编的一个matlab 程序，先对图像进行加噪声，然后进行滤波，再进行边缘检测(Made themselves a matlab program, the first increase the image noise, and then filter, then the edge detection)
- 2010-05-24 14:56:09下载
- 积分：1
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SPIHT_matlab_code
MATLAB implementation of SPIHT (without Arithmatic coding stage).
％ Performance evaluation : this toolbox VS. SPIHT
％ Test image: lena512.raw
％ bpp SPIHT(dB) This code(dB)
％ 0.1000 29.8107 29.3202
％ 0.2000 32.7202 32.2514
％ 0.3000 34.5479 34.0331
％ 0.4000 35.8422 35.4857
％ 0.5000 36.8623 36.5939
％ 0.6000 37.6650 37.3759
％ 0.7000 38.2581 38.0491
％ 0.8000 38.9390 38.7058
％ 0.9000 39.5218 39.3437
(MATLAB implementation of SPIHT (without A rithmatic coding stage). Performance evalua% tion : this toolbox VS. SPIHT%% Test image : lena512.raw%% bpp SPIHT (dB) This code (dB)% 0. 1000 29.8107 32.7202 0.2000 29.3202% 32.2514% 0.3000 0.4000 34.5479 34.0331% 35.8422 35.485 7% 0.5000 0.6000 36.8623 36.5939% 37.6650 37.3 759% 38.0491% 0.7000 0.8000 38.2581 38.9390 38 .7058 0.9000 39.5218 39.3437%)
- 2007-05-04 00:30:12下载
- 积分：1
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神经网络r2
说明： 完全自主实现的神经网络代码，对于深刻理解神经网络和BP算法很有帮助。(The neural network code, which is implemented autonomously, is very helpful for us to deeply understand the neural network and BP algorithm.)
- 2021-03-19 17:56:29下载
- 积分：1
