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FreeSender
FreeSender 群发器，学习socket 编程(FreeSender mass learning socket programming)
- 2013-01-25 16:25:13下载
- 积分：1
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LFM
脉冲压缩的匹配滤波。目标距离分别为10米，30米和100米，对于未压缩的脉冲，三个回波信号混叠在一起，不能分辨，而经过脉冲压缩的脉冲信号则可通过匹配滤波收到3个回波信号(Matched filtering for pulse compression.Target distances are 10 metres, 30 metres and 100 metres, respectively. For uncompressed pulses,The three echo signals are overlapped and can not be distinguished. While pulse compression can distinguish three echo signals after matched filtering)
- 2021-04-15 20:38:54下载
- 积分：1
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vblastpic14
采用BPSK调制技术，用ZF和ZF加并行干扰消除的方法检测系统的误码率。(Using BPSK modulation technique, with the ZF and ZF plus parallel interference cancellation method to detect the BER.)
- 2021-04-29 14:18:43下载
- 积分：1
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TPC-decode
MATLAB环境下实现了基于Chase II译码算法的Turbo乘积码[TPC]译码的程序。(MATLAB-based implementation environment Chase II decoding algorithm of Turbo Product Code [TPC] decoding process.)
- 2009-02-26 09:58:56下载
- 积分：1
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qpsk-RRC
qpsk的仿真以及根升余弦滤波器成形另外有误比特率的比较(qpsk simulation and shaping the root raised cosine filter)
- 2021-02-20 09:09:43下载
- 积分：1
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LMS
LMS算法仿真，LMS算法是智能天线波束形成的重要算法之一，在智能天线系统中得到了广泛的应用。(LMS algorithm simulation, LMS algorithm is an important smart antenna beamforming algorithm is one of the smart antenna system has been widely used.)
- 2011-05-03 16:21:49下载
- 积分：1
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1
说明： 跨平台即时通信技术在无线网络的研究与实现。(Cross-platform instant messaging technology in the wireless network and its implementation.)
- 2010-04-01 10:36:47下载
- 积分：1
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MATLAB 用DFT (FFT)对连续信号进行频谱分析
说明： 用DFT (FFT)对连续信号进行频谱分析(Spectrum Analysis of Continuous Signals Using DFT (FFT))
- 2020-06-25 05:40:02下载
- 积分：1
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CDMA技术说明及仿真
CDMA技术原理与发展，以及MATLAB仿真源代码(Principle and Development of CDMA Technology and MATLAB Simulation Source Code)
- 2018-12-14 21:29:19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
