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MULTICONMUNICATION

于 2010-05-27 发布 文件大小:4048KB
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  有关多媒体通信的课堂讲义,研究生教材,共六章,英文版本的(Class notes about multimedia communication, graduate teaching, a total of chapters, the English version of the)

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  • calcularGS
    factorizacion de una matriz por gram schmidt
    2010-07-05 02:14:27下载
    积分:1
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    该文件包含所有的测距定位算法,能够适用于无线传感器网络定位以及蜂窝网的终端定位。(This file contains all of the distance positioning algorithm, can be applied to wireless sensor network localization and cellular network terminal positioning.)
    2013-07-10 17:28:27下载
    积分:1
  • youxianyuan
    偏微分方程有限元的数值解的matlab程序,具有较好的实用性,方便大家使用和参考。(Partial differential equations finite element numerical solution matlab program, with good usability, to facilitate the use and reference.)
    2013-10-18 13:49:59下载
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    车牌识别程序,MATLAB,源代码,M文件(MATLAB)
    2010-01-10 15:23:27下载
    积分:1
  • pjPsg
    实现光谱检测中,多个检测点的平均,并进行sg平滑。 注:一点的多个光谱应保存在一个文件夹中,并以数字编号(Implementation of spectrum detection, the average number of detection points, and SG smoothing. Note: multiple spectral point should be kept in a folder, and a digital number)
    2015-04-15 10:47:47下载
    积分:1
  • BP
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    2019-07-18 15:11:27下载
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  • BFSK_rayleigh
    This file describ the BFSK_rayleigh.
    2012-06-30 02:27:20下载
    积分:1
  • Prediction
    用mlp模型预测,用mlp模型预测,用mlp模型预测(use mlp model for prediction)
    2013-12-01 22:26:32下载
    积分:1
  • 61046606ABCNNTrain
    Training Artificial Neural Network. XOR Problem. Summation Units, Log-Sigmoid Neurons with Biases. Input Layer: 2, Hidden Layer: 2, Output Layer: 1 neurons. Returns mean square error between desired and actual outputs. Reference Papers: D. Karaboga, B. Basturk Akay, C. Ozturk, Artificial Bee Colony (ABC) Optimization Algorithm for Training Feed-Forward Neural Networks, LNCS: Modeling Decisions for Artificial Intelligence, 4617/2007, 318-329, 2007. D. Karaboga, C. Ozturk, Neural Networks Training by Artificial Bee Colony Algorithm on Pattern Classification, Neural Network World, 19(3), 279-292, 2009. */
    2013-12-10 16:58:46下载
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    This method handles the border by repeating the closest values to the point accessed. This is different from matlabs border handling.
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