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pubg-samp
说明: 在samp下高仿pubg,目前尚未成型,属于半成品。(The high imitation pubg under samp has not been formed yet, and it belongs to semi-finished product.)
- 2020-08-03 10:38:39下载
- 积分:1
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网上考试系统的好多的论文 关于研究与实现的 大家快安看
网上考试系统的好多的论文 关于研究与实现的 大家快安看-online examination system has many papers on the study and implementation of security you see fast
- 2023-03-23 06:50:03下载
- 积分:1
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hw1_Ge.m
说明: 计算不同温度下Ge的费米能级,代码中给出了计算公式,最后能生成一副不同温度的曲线图(Calculate the Fermi energy level of Ge at different temperatures. The calculation formula is given in the code. At last, a graph of different temperatures can be generated)
- 2020-03-03 09:44:36下载
- 积分:1
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某物
没有什么功能,真的没有,你要不信就打开看看。。。说你不听,说了也白说-something
- 2023-01-06 09:55:04下载
- 积分:1
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Deal_with_DLL
说明: 在AutoIt3中如何处理DLL库的教程(The AutoIt3 tutorial in how to deal with DLL)
- 2010-03-24 12:45:18下载
- 积分:1
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OFDMSignalDetection-master
说明: 程序实现的主要功能:
OFDM调制识别:研究了基于高阶累量和基于小波变换的OFDM信号和单载波调制信号的识别算法,仿真分析了两种算法在高斯信道和多径瑞利衰落信道下的信号识别性能。
OFDM参数估计:研究了基于Welch算法和AR模型法求解功率谱进而估计信号带宽的算法,对两种算法的估计性能进行了比较;根据OFDM信号的循环平稳性研究了基于循环谱的载频估计算法;根据 OFDM信号的自相关性研究了基于可变延时自相关和固定延时自相关的FFT相结合的算法,估计了OFDM信号的有效数据长度、符号总长度、循环前缀长度和子载波间隔;最后研究了基于带宽和基于过采样估计子载波数目两种算法,并在高斯信道和多径瑞利衰落信道下对以上参数估计算法进行了仿真分析。
其中OFDM_DEMO为整个项目的程序入口,其余均为辅助函数,每一个函数均有参数注释和功能说明。(The main functions of the program are as follows:
OFDM modulation recognition: the recognition algorithms of OFDM signal and single carrier modulation signal based on high-order cumulant and wavelet transform are studied. The signal recognition performance of the two algorithms in Gaussian channel and multi-path Rayleigh fading channel is simulated and analyzed.)
- 2020-11-03 23:39:52下载
- 积分:1
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test1
说明: Lammps tutorial for anyone who need to use lammps
- 2020-04-23 13:15:23下载
- 积分:1
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link
单链表的全部源代码啦,有用的同学赶紧的啊。。。。(failed to translate)
- 2009-12-04 09:43:03下载
- 积分:1
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gmm test...
gmm test...
gmm test
gmm test...
gmm test...
gmm test
- 2022-03-10 19:23:31下载
- 积分:1
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Lin_Deep_Learning_of_2015_CVPR_paper
这是一篇关于图像检索的文章,主要内容如下:在第2部分对哈希算法的相关工作和基于深度学习的图像检索进行了回顾,在第3部分详述了所提出的一个新颖算法,最后,在第4部分和第5部分分别给出了实验结果和结论。(This paper is organized as follows: the related work of hashing algorithms and image retrieval with deep learning are briefly reviewed in Section 2. the details of a new method is elaborated on in Section 3. Finally, experimental results are provided in Section 4, followed by conclusions in Section 5.)
- 2020-06-22 00:20:02下载
- 积分:1