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disteusq
声音处理的MATLAB程序：DISTEUSQ (calculate euclidean, squared euclidean or mahanalobis distance
)
- 2011-10-02 01:11:36下载
- 积分：1
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CRC16
it s a tiny code.i m looking forward to help someone
- 2009-04-18 18:59:00下载
- 积分：1
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OFDM-simulation-based-on-MATLAB
很详细的matlab通信系统ofdm的仿真，包括每个模块的仿真和说明(Very detailed matlab ofdm communication system simulation, including each module of the simulation and instructions)
- 2014-09-14 22:20:19下载
- 积分：1
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chirp-pulse-and-dispersion
对啁啾和色散概念的理解，通过MATLAB编程实现可视化(matlab code for chirp and dispersion)
- 2013-12-20 16:23:41下载
- 积分：1
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1
说明： 双线性内插,图像放大缩小，简单容易学，好理解，上手快(Bilinear interpolation, image zoom, simple and easy to learn, easy to understand, quick)
- 2014-02-20 15:21:20下载
- 积分：1
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BLIINDS
B L I N D S can evaluate any distorted image quality without any referring of the original image.
- 2010-07-14 16:38:38下载
- 积分：1
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12Visualizing--coli-sub-cellular-
12可视化大肠杆菌亚细胞结构使用稀疏反褶积空间光干涉tomography.pdf(12Visualizing Escherichia coli sub-cellular structure using sparse deconvolution spatial light interference tomography.pdf)
- 2014-08-17 17:28:40下载
- 积分：1
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LFM_radar
多目标仿真的脉冲压缩雷达的有关程序，包括脉冲压缩，性能分析(failed to translate)
- 2013-05-04 13:32:59下载
- 积分：1
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WOA
说明： WOA鲸鱼优化算法，包括论文和源代码，解决函数最值问题。(WOA whale optimization algorithm, including paper and source code, solves the problem of function maximum.)
- 2020-03-22 16:58:39下载
- 积分：1
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PSO-evolutionarycomputation
粒子群优化算法(PSO)是一种进化计算技术(evolutionary computation)，有Eberhart博士和kennedy博士发明。源于对鸟群捕食的行为研究
PSO同遗传算法类似，是一种基于叠代的优化工具。系统初始化为一组随机解，通过叠代搜寻最优值。但是并没有遗传算法用的交叉(crossover)以及变异(mutation)。而是粒子在解空间追随最优的粒子进行搜索。详细的步骤以后的章节介绍
同遗传算法比较，PSO的优势在于简单容易实现并且没有许多参数需要调整。目前已广泛应用于函数优化，神经网络训练，模糊系统控制以及其他遗传算法的应用领域(Particle Swarm Optimization (PSO) is an evolutionary computation technique (evolutionary computation), has Dr. Eberhart and Dr. kennedy invention. Deriving from the behavior of birds of prey PSO with genetic algorithm is similar to an iterative optimization-based tools. System initialization for a group of random solutions, through the iterative search for optimal values. But there is no cross-genetic algorithm used (crossover) and mutation (mutation). But the particles in the solution space of the particles to follow the optimal search. In detail the steps after the introduction sections compared with the genetic algorithm, PSO has the advantage of being simple and easy and did not realize many of the parameters need to be adjusted. Has been widely applied to function optimization, neural network training, fuzzy system control, as well as other genetic algorithm applications)
- 2008-03-19 20:51:36下载
- 积分：1
