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Kmeans-image-segmentation

于 2010-06-23 发布文件大小:2363KB

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matlab图像分割实例，K均值用于图像分割，割调用库函数实现，带注释，简单易懂(matlab image segmentation examples, K means for image segmentation, cutting calls library functions, with comments, easy to understand)

文件列表：

K均值用于图像分割
.................\ex_17_2.m,1871,2009-03-09
.................\用到的图像

.................\..........\cell.tif,31028,2001-02-21

.................\..........\paris.lan,1835136,2000-12-04

.................\..........\traffic.avi,208896,2007-08-20

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2009-09-09 16:41:27下载

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用rayleighchan 函数仿真时要注意最后要做相位补偿（此问题是导师发现的）程序步骤： ~产生随机序列 ~产生瑞利信道 ~调制 ~记忆信道特征 ~信号通过信道 ~相位补偿 ~加高斯噪声 ~解调 ~计算仿真误比特率 ~计算理论误比特率 ~不同颜色画出误比特率曲线对比(Function Simulation with rayleighchan last thing to note when the phase compensation (this issue is found mentor) program steps: ~ ~ generated random sequence modulation in Rayleigh Road, ~ ~ ~ memory characteristics of the signal channel by channel ~ ~ plus Gaussian noise phase compensation ~ ~ demodulation bit error rate calculation simulation of bit error rate calculation theory ~ ~ different colors to draw curves of bit error rate)

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本文基于毕肖普法和蒙特卡洛法,利用MATLAB编程软件计算了边坡结构的失效概率Pf和对应可靠指标β.在计算上述Pf和对应β时,考虑了土体三个主要基本参数(重度γ、内摩擦角(Ψ)、粘聚力c)的随机特性.利用MATLAB程序的计算结果表明,随机变量对边坡可靠度的影响与基本随机参数对抗滑反力的贡献大小有关,即,贡献大的基本随机参数,它的随机波动对结构失效概率Pf的影响也较大,反之亦然.另外,基于MATLAB的算例计算结果还表明:边坡结构失效概率Pf对内摩擦角(Ψ)较敏感,而对重度y和粘聚力c次之.其次,当同时考虑三个随机变量的联合波动对Pf的影响时发现,当它们在小范围内随机波动时,其联合特性对Pf的影响较敏感,但当它们在大范围内随机波动时,Pf主要受敏感随机变量的影响,而三个随机变量联合作用对Pf的影响和敏感随机变量(Ψ)单独作用时相差不大.由此可见,在实际边坡工程可靠性分析中,土体内摩擦角起主要作用,不容忽视.(Based Bishop method and Monte Carlo method, using MATLAB programming software to calculate the failure probability Pf and the corresponding slope reliability index β structure in the calculation of the above Pf and the corresponding β, consider the three main basic soil parameters (severe γ internal friction angle (Ψ), cohesion c) of the random nature of calculation results using MATLAB program shows that the influence of random variables on the reliability of the basic random slope parameters against anti- slip contribution to the size of the force , that is , the contribution the basic parameters of large random , random fluctuations which affect the probability of structural failure Pf is also larger , and vice versa addition, the calculation based on MATLAB numerical results also show that : the structure of slope failure probability Pf internal friction angle (Ψ) more sensitive , while severe and cohesion c y followed . Secondly, when taking into account the impact of the joint fl)

2014-01-10 17:36:46下载

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Kmeans-image-segmentation

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