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Pattern

于 2010-11-12 发布文件大小:6KB

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pattern .m file this is the exercise of Theodoridis

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222
本代码使用matlab实现理想高通滤波增强图像(Matlab to achieve ideal high-pass filtering to enhance the image)

2014-10-16 14:30:14下载

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Bp
说明： Bp人工神经网络，matlab2010b上完美运行，适合初学者(Bp code matlab2010b)

2011-12-10 13:43:22下载

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zuizhongban
基于重复控制的逆变器模型，系统完全可运行且功率因数较好,仅供大家参考(Repetitive control inverter model, the system is fully operational and the power factor is better)

2015-04-04 16:37:26下载

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NonLinear
DVR system in SIMULINK

2014-02-01 16:06:15下载

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matlab
MATLAB命令大全，很好用，希望给大家带来帮助(MATLAB command Daquan, very easy to use, we hope to bring help)

2015-04-21 20:23:26下载

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l1eq_pd
压缩感知重构算法，线性规划算法matlab程序算法(Compressed sensing reconstruction algorithm)

2021-03-26 08:59:13下载

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39709569Thepicturemutuallyreduce[matlab]
to subtract background

2009-05-17 18:44:22下载

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MathematicalPWriting
数模MATLAB的写作书籍，关于美赛论文的写作论文，还有matlab的使用操作(writing，math，and MATLAB，and learn some knowledge by yourself)

2015-01-28 22:37:49下载

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svm2d
this file implement svm in 3d space. libsvm is used for it

2012-01-11 05:15:16下载

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MeanShift
Mean Shift 这个概念最早是由Fukunaga等人[1]于1975年在一篇关于概率密度梯度函数的估计中提出来的,其最初含义正如其名,就是偏移的均值向量,在这里Mean Shift是一个名词,它指代的是一个向量,但随着Mean Shift理论的发展,Mean Shift的含义也发生了变化,如果我们说Mean Shift算法,一般是指一个迭代的步骤,即先算出当前点的偏移均值,移动该点到其偏移均值,然后以此为新的起始点,继续移动,直到满足一定的条件结束. 用matlab实现mean shift算法仿真(Mean Shift the concept was first used by Fukunaga et al [1] in 1975 in an article on the probability density function estimation of gradient raised its original meaning, as its name implies, is the offset of the mean vector, where is the Mean Shift a noun, it refers to a vector, but with the Mean Shift the development of the theory, Mean Shift the meaning has changed, if we say that Mean Shift algorithm, generally refers to an iterative steps, namely, first calculate the current point Mean offset, move the shift points to its average, and then as a new starting point and continue to move until the end to meet certain conditions. realize using mean shift algorithm matlab simulation)

2009-02-11 20:58:57下载

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Pattern

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