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ccsum

于 2009-11-07 发布 文件大小:5828KB
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  Contemporary Communication Systems Using Matlab

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  • 123
    本文介绍了matlab的主要函数指令表及图像处理的matlab实现。(This article describes the main function of the matlab command table and to achieve matlab image processing.)
    2009-05-12 12:38:34下载
    积分:1
  • Instal_new_PWM
    A NEW TOOLBOX APPLICATION OF INDUCTION MACHINES DRIVES ADD TO SIMULINK MATLAB.
    2011-09-28 00:58:26下载
    积分:1
  • Desktop
    定位系统的编写,运用DV_HOP算法,很简单,但是运行正确(Positioning system of writing, based on DV_HOP algorithm is simple, but correct operation)
    2011-10-23 20:32:24下载
    积分:1
  • kf
    说明:  kalman滤波基本程序框架并针对匀速直线目标跟踪(kalman filter and the basic procedural framework for the uniform straight line tracking)
    2010-08-01 10:42:46下载
    积分:1
  • psvec
    matlab编写的关于fdtd编程的步骤和具体方法,适合初学者,且直接是三维结构,用mur吸收边界条件(Matlab fdtd prepared by the programming steps and concrete measures for beginners, which is the three-dimensional structure directly with mur absorbing boundary conditions)
    2020-09-10 16:08:00下载
    积分:1
  • A
    it is a rar file containing source codes of matlab
    2011-08-29 13:54:58下载
    积分:1
  • twice-update-PSO
    本文二次更新型粒子群算法( TUPSO)的基本思想是:一方面,在保留粒子群算法中快速收敛, 易于实现, 调整参数少等优势的前提下,通过融合基本粒子群算法中的信息共享原理与 DPSO-TSP 中的 2-Opt 运算法则,改进了DPSO-TSP中粒子进化的规则(In this paper, the basic idea of the new particle swarm optimization (TUPSO) algorithm is: on the one hand, by integrating the particle swarm optimization algorithm in the fast convergence, easy to achieve, adjust the parameters of less advantage of the premise, through the integration of basic particle swarm algorithm information sharing Principle and the 2-Opt algorithm in DPSO-TSP improves the rule of particle evolution in DPSO-TSP)
    2017-05-16 15:16:26下载
    积分:1
  • jacobi
    matlab下雅克比在数值计算中有很好的应用!(Jacobian under matlab numerical calculation in a very good application!)
    2007-12-14 09:37:55下载
    积分:1
  • Qa
    说明:  通过拟合计算Qa,对较多的地理数据分析比较有用(By fitting the calculated Qa, geographic data analysis on more useful)
    2011-01-11 20:01:23下载
    积分:1
  • fit_logistic
    Fit time series Q(t) to a logistic function. Inputs (vectors of same size): t (time) & Q Outputs: Qpre (logistic model fit to data) and three independent parameters: thalf, Qinf, and a, describing the logistic Q(t) = Qinf/(1 + exp(-a*(t-thalf))) Qinf is value as t --> infinity thalf is time of symmetric inflection point a is time decay constant Written by James Conder, Southern Illinois University, Oct. 2010
    2014-02-14 18:29:17下载
    积分:1
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