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edgedetec
用matlab实现边缘提取，应用于医学图像效果不错，抑制噪声很好(Edge detection using matlab implementation, good results for medical images, good noise suppression)
- 2010-05-08 22:00:52下载
- 积分：1
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ROI_detector
This is an implementation of the algorithm described in our paper [1]. The input is any map generated by saliency detection algorithms like Itti-Koch [2] or GBVS [3]. The algorithm outputs a binary mask without requiring a threshold for the saliency map. More details about it are described in our paper.
- 2013-09-21 18:59:56下载
- 积分：1
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ElectronicCommunicationSystems
Electronic Communication Systems的Matlab源码，对该书的学习很有帮助(Electronic Communication Systems of the Matlab source code of the book very helpful to study)
- 2009-03-15 11:15:26下载
- 积分：1
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CCA_SNR10
衰落信道下的盲估计研究不同信噪比下典型相关分析(snr)
- 2009-03-25 17:59:32下载
- 积分：1
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最大似然
说明： 两种不同的假设：
H1 ： 0 xn A fn wn ( ) cos(2 ) ( ) = ++ π θ n=1,2,…,N，f0 为规一化频率
H0 ： xn wn () () = n=1,2,…,N
其中 w[n]是均值为 0，方差为 2 σ n 的高斯白噪声，A 已知，样本间相互
独立，信号与噪声相互独立; 相位θ 是随机变量，它服从均匀分布
1 0 2 ( ) 20 p
θ π θ π ?? ≤ ≤ = ??? 其它
1）改变输入信噪比（改变 A 或噪声方差均可），给定虚警概率，画出
输入信噪比与检测概率之间的理论曲线。(注意：理论检测曲线与样本
数有关) 2）改变样本数，用 Monte-Carlo 实验方法得出 PF＝0.001 时输入信噪比
与检测概率之间关系曲线（至少三条），并得出结论。 3）改变 M-C 实验次数，样本数不变，用 Monte-Carlo 实验方法得出 PF ＝0.001 时输入信噪比与检测概率之间关系曲线（至少三条），并得出
结论(Draw the theoretical curve between input SNR and detection probability)
- 2020-01-03 22:32:15下载
- 积分：1
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bbreflex
finite element source code using matlab (beam, plates, shells)
- 2009-12-25 06:23:24下载
- 积分：1
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Matlab-MyLabs
A lot of (15) MatLab completed labs, with a full description and explanation (Russian, but can be translated to English/Chinese using Google Translator).
Will be useful for students at their first part of MatLab course.
- 2010-12-23 19:02:38下载
- 积分：1
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draw-action-on-cell2
good demos of matlab
- 2012-11-25 16:21:09下载
- 积分：1
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基于粒子群优化算法（PSO）的环形阵列天线方向图的仿真程序
本程序是基于粒子群优化算法（PSO）的环形阵列天线方向图的仿真程序(This procedure is based on the ring particle swarm optimization Antenna Array Simulation Program)
- 2021-04-13 10:58:56下载
- 积分：1
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VCA
Vertex Component Analysis: A Fast Algorithm to
Unmix Hyperspectral Data(This paper presents a new method for
unsupervised endmember extraction from hyperspectral data,
termed vertex component analysis (VCA).)
- 2013-03-15 10:04:22下载
- 积分：1
