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PhC

于 2019-05-19 发布 文件大小:1KB
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代码说明:

  有详细说明,方便新手学习,本程序为计算光子晶体的透过率,反射,和吸收(Detailed instructions to facilitate novice learning)

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PhC.m, 3213 , 2019-01-23

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  • Classical0
    经典谱估计的几个经典算法,包括BT法,周期图法,改进周期图法等。。。MATLAB7.3上顺利编译通过(Classical spectral estimation of several classic algorithms, including the BT method, periodogram, modified periodogram method. . . MATLAB7.3 compile smoothly)
    2010-08-29 18:27:20下载
    积分:1
  • SNR2
    matlab code for simulation SNR to verify capcity of channel
    2012-05-03 23:52:28下载
    积分:1
  • signalsetsnr
    考察了在不同信噪比情况下,信息论准则和盖氏圆准则估计信号源数目的正确率(The correct rate of the SNR, the information criterion and Gerschgorin criterion estimated the number of source)
    2021-03-26 14:19:13下载
    积分:1
  • sitemap_021.xml
    various factors involved in site location
    2013-10-25 07:00:03下载
    积分:1
  • pow_sig1
    System will automatically delete the directory
    2009-06-30 15:32:39下载
    积分:1
  • pso-clustering
    说明:  基于粒子群的改进K均值聚类算法源代码。适用于MATLAB7.1。(Improved PSO-based K means clustering algorithm source code. For MATLAB7.1.)
    2020-12-13 22:09:15下载
    积分:1
  • displayRelevantVisualWords
    Optical flow or optic flow is the pattern of apparent motion of objects, surfaces, and edges in a visual scene caused by the relative motion between an observer (an eye or a camera) and the scene.[2][3] The concept of optical flow was first studied in the 1940s and ultimately published by American psychologist James J. Gibson[4] as part of his theory of affordance. Optical flow techniques such as motion detection, object segmentation, time-to-collision and focus of expansion calculations, motion compensated encoding, and stereo disparity measurement utilize this motion of the objects surfaces and edges.[5][6]
    2012-03-31 23:44:49下载
    积分:1
  • ica_z
    本程序是独立成分分析算法的主程序,在该程序中,通过调用子程序的方式实现了独立成分分析。但本程序不含子程序。(This procedure is the main independent component analysis algorithm, in this program by calling the subroutine way to achieve an independent component analysis.)
    2013-09-22 10:03:15下载
    积分:1
  • Body-Area-Networks
    一个身体部位比较模型的新方法网络(BAN)的,可以容纳多个环节和多个科目。所述的绝对测量允许跨频谱可能刻画的比较 从单参数为整个合奏,通过基于参数化到每个活动,每个学科和每个环节模型。使用错误,并明确之间权衡复杂性,在一个善良的适应措施相结合,显示有重要的影响时,适用于一系列典型的禁止通道数据。它是有不同的 在模式的选择的影响,以及它相关的复杂性,混合活动的“日常”的数据,设置活动相比,动态数据(例如步行)。平均路径损耗的不足,甚至位数的路径损失的措施,作为唯一的表征还强调“禁止通道。 (A new approach to compare models for body area networks (BAN) that accommodates multiple links and multiple subjects is presented. The absolute measure described allows comparison across a spectrum of possible characterizations ranging from single-parameter for an entire ensemble, through to per-activity, per-subject and per-link based parameterized models. The use of an explicit trade-off between error and complexity, combined in a goodness-of-fit measure, is shown to have important consequences when applied to a range of typical BAN channel data. It is shown that there are different implications in choice of model, and it’s associated complexity, for mixed-activity “everyday” data, when compared with set-activity dynamic data (e.g. walking). The deficiency of mean path loss, or even median path loss measures, as a sole characterization of the BAN channel is also highlighted.)
    2011-12-01 21:21:32下载
    积分:1
  • PSO
    粒子群算法,也称粒子群优化算法(Particle Swarm Optimization),缩写为 PSO, 是近年来发展起来的一种新的进化算法(Evolutionary Algorithm - EA)。PSO 算法属于进化算法的一种,和模拟退火算法相似,它也是从随机解出发,通过迭代寻找最优解,它也是通过适应度来评价解的品质,但它比遗传算法规则更为简单,它没有遗传算法的“交叉”(Crossover) 和“变异”(Mutation) 操作,它通过追随当前搜索到的最优值来寻找全局最优。这种算法以其实现容易、精度高、收敛快等优点引起了学术界的重视,并且在解决实际问题中展示了其优越性。粒子群算法是一种并行算法。(Particle swarm optimization, also known as particle swarm optimization (Particle Swarm Optimization), abbreviated as PSO, is a new evolutionary algorithm developed in recent years (Evolutionary Algorithm- EA). Kind, and simulated annealing algorithm PSO algorithm is similar evolutionary algorithms, it is also starting a random solution, through an iterative search for the optimal solution, which is also used to uate the quality through fitness solution, but it is simpler than genetic algorithm rules It has no genetic algorithm " crossover" (Crossover) and " variant" (Mutation) operation, which by following the current search to find the optimal value to the global optimum. This algorithm is its easy implementation, high accuracy, fast convergence, etc. attracted academic attention and show its superiority in solving practical problems. PSO algorithm is a parallel algorithm.)
    2015-01-18 20:38:17下载
    积分:1
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