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MATLABGUIdsign
Matlab GUI语言的基础入门详细讲解，浅显易懂(Matlab GUI language to explain in detail the basis for entry, easy to understand)
- 2009-06-10 13:49:58下载
- 积分：1
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CreateRamp
利用matlab产生一个雷达回波信号，模拟了信号的强度和回波时间的变化(Using matlab to generate a radar echo signal, analog signal intensity and echo time of change)
- 2010-03-07 15:56:56下载
- 积分：1
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ssim-1.1
Implementation of the Self Similarity descriptor based on the paper:
Matching Local Self-Similarities across Images and Videos, Eli Shechtman and Michal Irani
CVPR 07
- 2010-05-04 16:46:15下载
- 积分：1
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resultICA
大纲很简单地独立分量分析理论和盲源分离技术20多年的发展历史，及其程序。(Independent component analysis of the history of the development of the theory and blind source separation technology more than 20 years, and its procedures.)
- 2021-01-29 09:48:39下载
- 积分：1
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handover_topsis_fuzzy
The code is used to simulate the handover mechanism between WiMAX and 3G networks using topsis method with fuzzy logic. At the end of the simulation results are plotted in the form of graphics.
- 2014-10-02 17:59:01下载
- 积分：1
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hengxujingjianceCFAR
CFAR即恒虚警检测，是雷达信号处理领域的经典处理算法，其核心是在保证虚警概率一定的条件下，尽可能提高检测概率(CFAR that is constant false alarm detection, radar signal processing field of the classic algorithm, its core is to ensure that the false alarm probability of certain conditions, as far as possible to improve the detection probability)
- 2021-03-03 11:39:33下载
- 积分：1
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脑肿瘤检测
主要议题是分割脑肿瘤及其组件和二维的 MR 图像大脑的内部结构。肿瘤分割提出了一种框架，是基于区域和基于边界的范式的组合。
- 2023-06-09 06:00:03下载
- 积分：1
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interlace
通信信道的交织编码和解码matlab实现(Communication channel interleaving encoding and decoding)
- 2011-01-12 21:49:09下载
- 积分：1
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matlab求解矩阵特征值
利用matlab求解矩阵的特征值，我自己编写的程序源代码，希望对需要的人有帮助，谢谢。
- 2022-03-30 05:54:28下载
- 积分：1
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Pso
模拟一群鸟捕食的情景，从而达到优化目标函数的目的，这就是粒子群算法！起初在可行的空间中随机的产生一群粒子，然后让每个粒子开始在虚拟的空间中向四面八方飞翔，并且每个粒子都记下他们飞过的适应值（也就是目标优化函数）最高的点，而且整个粒子群有一个最高适应值个体，这样，粒子在飞翔的时候尽量朝向自己曾飞过的最好的点和集体的最好的点。最后达到收敛到近似最优点的目的。
(Simulation of a group of birds preying on the scene, so as to achieve the purpose of optimizing the objective function, that is, PSO! At first, where feasible, have a space in a group of random particles, and then let the beginning of each particle in a virtual space to fly in all directions, and each particle they have in mind over the fitness value (that is objective optimization function) the highest point , and the whole particle swarm adaptation has a maximum value of the individual, so that particles in the fly when he had flown as far as possible towards the best point and collective best point. Finally reaching the merits of convergence to approximate most purposes.)
- 2007-10-24 14:45:05下载
- 积分：1
