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gaopin

于 2007-12-02 发布 文件大小:395KB
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下载积分: 1 下载次数: 26

代码说明:

  高频小信号放大器,采用1496模拟乘法器,分为调制解调模块(High-frequency small-signal amplifier, analog multiplier used 1496, divided into modem module)

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  • hill
    用scilab(和matlab一样,只是非常小)实现希尔密码的加密与解密(With scilab (and matlab, only very small) the achievement of Hill of encryption and decryption)
    2007-11-25 16:55:23下载
    积分:1
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    synopsis on speaker recognition
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    2020-06-30 16:20:02下载
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  • crosspso
    基于文化算法的粒子群优化算法能记忆遍历过的最优值(Culture-based particle swarm optimization algorithm to traverse through the optimal value of the memory)
    2011-05-05 20:34:23下载
    积分:1
  • TaylorAlgorithm
    这是用来仿真无线定位技术的算法源程序,希望可以帮到大家(This algorithm is used to simulate wireless location technology source, I hope you can help)
    2012-06-04 22:21:56下载
    积分:1
  • DOA
    面阵中二维角度估计,基于增广矩阵束的L型阵列的二维DOA估计MATLAB程序(Two-dimensional planar array angle estimation, based on two-dimensional DOA estimate MATLAB program augmented matrix beam L-shaped array of)
    2014-10-22 21:18:49下载
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    一个FFT的matlab例子,详细讲述了FFT的输出结果与点数,还有采样频率FS之间的关系,对于新手来说,理解这些很有用(A FFT example based on MATLAB. The relationship between output of FFT and the nummber of point of FFT and Fs is detailed in it.)
    2011-11-25 16:19:26下载
    积分:1
  • 1-aplikasi-penjualan
    Yeah I actually fixed it by moving a bunch of stuff to onResume(). There are also a number of other bugs I found in this code posted here (which was based on even buggier code) that I will post as soon as I get them all fixed. The first one that comes to mind is that in the try block it needs to check if c is null. Another one is that there is no error handling for a source going down midstream
    2015-03-27 00:50:12下载
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  • matlab
    了解隐马尔科夫模型HMM的概念、组成和需要解决的问题;通过matlab分析和三个基本算法分析读研和就业问题:forward算法、Viterbi算法和Baum-Welch算法(Understand the concept of Hidden Markov Model HMM, composition and problems to be solved matlab analysis by three basic algorithms: forward algorithm, Viterbi algorithm and Baum-Welch algorithm)
    2014-01-15 16:25:59下载
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  • Texto-integral
    Paper Abstract – An adaptive control of Distributed Generation (DG) to provide predictable active power output at the primary distribution substation is described. Often, distribution networks accommodate renewable energy different energy sources and thus using different energy conversion sources. As the amount of generation that comes intermittent renewable sources (e.g. wind energy) increases, network operators start to concern with the uncertainty of generation. However, when the power output intermittent renewable sources is predicted, the network operators can reduce the operational costs of the network and the DG owners may go on the market. Thus, our challenge with this work was to develop an algorithm which can predict the active power output the aggregation of wind and biomass energy at the primary distribution substation of a typical distribution network. Wind and biomass energy plant are onto the same distribution network but not necessarily onto the same feeder.
    2014-12-04 00:36:38下载
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