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A_Synthetic_Evaluation_fo_Antijamming_Ability_of_t
- 摘要:实战条件下如何评价短波跳频通信系统的抗干扰性能是构建短波跳频通信系统的重要环rr-}J。由于不 能得到精确的指标评价值，采川组合赋权法给出了系统抗干扰性能的评价算法已经不能适川。给出了一种模糊综 合评价方法，该方法有如下优点:为避兔专家赋指标权值的卞观随意性，将德尔菲(Delphi)法和层次分析法(AHP)相结合来确定指标权值 为了便于专家较准确地作出评判，给出了指标评价等级，并利川模糊评价法给出指标评价矩 阵，最后得到评价结果。评价实例表明了该方法的有效性。 -Abst
keyprocess
- 按键处理，可以说，是做单片机的朋友的一项必须掌握的基本功。在本文中，匠人将试 对按键的检测及处理做一些肤浅的分析，权当是给新手扫盲。如果您是高手，请跳过此文，-Button processing, it can be said, is to do a friend of a microcontroller must master the basics. In this article, and craftsmen, on the button will try to do some test
Control-of-Teleoperation
- ：针对遥操作机器人系统通信通道中存在时延以及系统模型存在不确定性而可能造成系统不稳定和操作性能降低的问 题，采用了H 混合灵敏度鲁棒控制的方法设计主从机械手的控制器。首先概括的介绍了系统的构成及动力学模型，然后 针对控制器设计中加权函数选择较困难的问题，研究了一种较实用的加权函数选择方法，并采用MATLAB鲁棒控制工具箱 进行了控制器设计，最后给出了系统在随机时延环境下Simulink的仿真结果。结果表明系统在受扰和通信信道存在随机时 延的情况下，仍具有良好的鲁棒稳定性和跟踪性能
IR-project
- 1-The Cranfield collection is a standard IR text collection(included in this directory)., consisting of 1400 documents the aerodynamics field.Write a program that preprocesses the collection.Determine the frequency of occurence for all the words in t
shangquanfafuquanzhong
- 熵值赋权法是一种常用的确定指标权重的方法，本源码为基于客观熵赋权法在matlab中的实现，计算结果不错，供站友学习参考-Entropy weighting method is a commonly used to determine the index weight method, the source code is based on objective entropy weighting method in MATLAB in the realization, the calculation
bun_xh45
- 是学习PCA特征提取的很好的学习资料，采用热核构造权重，插值与拟合，解方程，数据分析。- Is a good learning materials to learn PCA feature extraction, Thermonuclear using weighting factors Interpolation and fitting, solution of equations, data analysis.
pen_v45
- IDW距离反比加权方法，实现了图像的灰度化并进一步用于视频监视控，通过反复训练模板能有较高的识别率。- IDW inverse distance weighting method, Achieve a grayscale image and further control for video surveillance, Through repeated training LhRFLFSlate have higher recognition rate.
2808-14159-1-PB
- In this paper, we systematically explore feature definition and selection strategies for sentiment polarity classification. We begin by exploring basic questions, such as whether to use stemming, term frequency versus binary weighting, negation-enr