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于 2018-04-14 发布 文件大小:828KB
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代码说明:

  一些CDMA的资料,很全面,各种论文,都是再市面上找不到的现在提供给平台,可以增加平台的量(Some CDMA data are very comprehensive, and all kinds of papers are not available on the market. Now it is available to the platform, which can increase the volume of the platform.)

文件列表:

基于MATLAB的Gold序列相关性研究_高梓舰.pdf, 66700 , 2017-05-13
基于Matlab的m序列生成及性能仿真_周洪霞.pdf, 304476 , 2017-05-13
基于MATLAB的伪随机序列的产生和分析_陈海龙.docx, 99509 , 2017-05-13
基于MATLAB的伪随机序列的产生和分析_陈海龙.pdf, 109636 , 2017-05-13
扩频通信及matlab仿真.doc, 526848 , 2017-05-26
伪随机序列的Matlab实现与分析_王哲.caj, 183146 , 2017-05-16
用Matlab生成gold码.doc, 32256 , 2017-05-13

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    Matrix techniques for modelling ultrasonic waves in multilayered media。This paper presents a review of the main developments of the matrix techniques, and their use in response and modal models, with emphasis on ultrasonics applications(Matrix techniques for modelling ultrasonic waves in multilayered media)
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    基于改进的粒子群算法的一个网络节点定位算法,并和传统的DVhop方法做了比较。(Based on the improved particle swarm algorithm of a network node localization algorithm, and the method and traditional DVhop were compared.)
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    find the threshold value of the gray scale image.
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    陈垚光《精通MATLAB GUI设计》实例源代码 适用于MATLAB界面编程学习(Chen Yao light " Mastering MATLAB GUI design source code examples for learning in the MATLAB programming interface)
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    这个演示代码解决双目标函数优化问题,用蝙蝠算法和加权求和法。该程序可以扩展到解决多目标。(This demo code solves bi-objective function optimization problems using the Bat Algorithm and the weighted sum method. The program can be extended to solve any multiple objectives.)
    2014-11-26 14:36:57下载
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    阵列的方向图,其中包含均匀线列阵,均匀平面阵,均匀圆阵的方向图的源代码(The pattern of the array, which contains uniform linear array, uniform plane array, the source code of the uniform circular array pattern)
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    学习用matlab求解最优化问题,提高matlab实际应用能力(Learn to use matlab to solve the optimization problem, the ability to improve the practical application of matlab)
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  • C116
    we present a practical link adaptation algorithm for MIMO-OFDM systems. The proposed solution is based on sounding the channel periodically and choosing the optimal mode that will maximize the throughput or energy efficiency (EE) while satisfying the application’s quality of service (QoS) requirements. In addition, we address practical problems such as the computational complexity of the algorithm and determination of sounding period by novel closed form solutions and iterative algorithms. Realistic link level simulations confirm that the proposed solution achieves significant improvement over existing link adaptation algorithms when the aim is to maximize the throughput, and provides orders of magnitude gain in energy efficiency compared to poorly chosen fixed modes when used for energy efficiency maximization purposes. The resulting algorithms are implemented on a real time MIMOOFDM testbed, and we report on the experimental results.
    2014-11-07 16:03:39下载
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