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ldpc
说明： ldpc编码的matlab实现，供大家参考(Matlab implementation of LDPC coding for your reference)
- 2021-01-25 16:28:43下载
- 积分：1
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bjpv
仿真分析了步进频率雷达信号的波形频谱和模糊函数(The waveform spectrum and ambiguity function of stepped frequency radar signal are simulated and analyzed.)
- 2018-11-23 17:36:28下载
- 积分：1
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ns-allinone-2.33.tar
说明： ns2.33这是目前比较新的ns2版本，欢迎下载(ns2.33 This is relatively new ns2 version, welcome to download)
- 2008-12-02 10:50:25下载
- 积分：1
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IOT_Simulation_3_BasicModels
opnet 仿真，陈敏老师2015年新书 opnet物联网仿真(opnet Simulation)
- 2020-09-22 22:47:49下载
- 积分：1
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Desktop
简单地绘制BOC（1, 1）调制信号的功率谱密度及其自相关函数曲线，仅供参考。(Simple drawing BOC (1, 1) density and autocorrelation function curve of power spectrum of the signal modulation, for reference only.)
- 2020-10-28 16:19:58下载
- 积分：1
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MIMO-OFDM-with-MATLAB
经典的MIMO—OFDM外文书籍，是本人迄今为止见过写的最好的。内含matlab代码。(classic MIMO-OFDM book，the best book which i have met。include matlab codes)
- 2012-10-28 10:14:04下载
- 积分：1
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STK-develop
SIM卡为表示能够执行proactive command且支持SAT，它必须在文件EFphaseTKG EFsst中有相关数据。 Phase文件指的是SIM卡所支持的GSM标准的级数，值为3则指SIM卡支持GSM phase 2和设置下传功能（profile download)。SST文件包含支持哪些GSM性能的准确信息。(SIM card that can support the implementation of proactive command and the SAT, it must file EFphaseTKG EFsst have relevant data. Phase document refers to the SIM card supports the GSM standard series, a value of 3 means the SIM card supports the GSM phase 2 and settings transfer function (profile download). SST file which contains support for GSM performance of accurate information.)
- 2011-06-16 12:44:25下载
- 积分：1
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HCF-spec160-(Device-Families-Command-Specificatio
HART Communication Foundation - Device Families Command Specification
- 2020-11-20 14:39:37下载
- 积分：1
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六种数字调制信号的识别
说明： 决策树分类法识别ASK,PSK,FSK六种数字信号的调制识别(Decision tree classification for modulation recognition of ask, PSK and FSK digital signals)
- 2020-03-18 22:10:48下载
- 积分：1
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第一次作业_基于分类算法的雷达状态识别
说明： 第一次作业_基于分类算法的雷达状态识别
对于本数据集中的雷达状态识别，数据降维前使用朴素贝叶斯、支持向量机、神经网络的分类算法对于识别的准确率无太大影响；数据降维后使用神经网络算法最优，支持向量机算法其次，朴素贝叶斯算法较差。此外，训练样本越多，分类准确率有小幅度提高。(First Operation Radar State Recognition Based on Classification Algorithms For radar state recognition in this data set, the classification algorithm of Naive Bayesian, Support Vector Machine and Neural Network before data dimension reduction has little effect on the accuracy of recognition; Neural Network algorithm is the best after data dimension reduction, Support Vector Machine algorithm is the second, Naive Bayesian algorithm is the worst. In addition, the more training samples, the smaller the classification accuracy.)
- 2019-04-03 08:54:04下载
- 积分：1
