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mimo_ofdm
mimo通信系统仿真，bpsk，qpsk以及具有相关性的情况下VBLAST系统(mimo communication system simulation, bpsk, qpsk as well as the relevant circumstances VBLAST System)
- 2009-05-27 16:12:50下载
- 积分：1
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时频分析处理软件
说明： 最新时频分析处理软件，提供了WVD和多种伪WVD算法。胡广书所编>中实例程序需要其才能运行(latest time-frequency analysis software, and provides a variety of pseudo-WVD WVD algorithm. Hu-book series by <<modern signal processing TEACHING COURSE "> Example process needs to run its)
- 2021-03-05 22:09:31下载
- 积分：1
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HW_2_Simluation
a fuzzy implement with matlab
- 2012-07-01 03:11:04下载
- 积分：1
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m-m-1
说明： 通过对业务流的参数来实现mm1排队论的模拟仿真，最终统计出各种时间。(The parameters of the business flow through to achieve mm1 queuing theory simulation, the final statistics of all time.)
- 2010-04-23 12:49:45下载
- 积分：1
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基于gtd模型music算法提取目标散射中心的程序
基于gtd模型music算法提取目标散射中心的程序(Music algorithm based gtd model procedures for extracting the target scattering centers)
- 2021-01-14 08:38:48下载
- 积分：1
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Particle Filturing
粒子群滤波算法及改进算法代码，包含代码说明(Particle swarm optimization algorithm and improved algorithm code, including code description)
- 2020-10-26 15:19:59下载
- 积分：1
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AGame-theoreticFrameworkforInterference
基于博弈论的干扰对消研究，将博弈论运用于认知无线电中的干扰对消！(Game theory-based interference cancellation research, applied game theory in cognitive radio interference cancellation!)
- 2010-12-08 16:32:04下载
- 积分：1
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matlabGUI
资料很好压缩包解压时没有密码第二行程序括号当中是原图片存放路径，最终将会出现处理后的图像figure no.1(verygood)
- 2009-05-25 13:24:13下载
- 积分：1
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main3
An example that illustrates the importance of shift-invariance is image denoising by
thresholding where the lack of shift-invariance causes pseudo-Gibbs phenomena around
singularities.In addition to shift-invariance, it has been recognized that an efficient image representation
has to account for the geometrical structure pervasive in natural scenes. In this
direction, several representation schemes have recently been proposed
- 2010-12-02 22:41:53下载
- 积分：1
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iris-classification-matlab-master
In this report, we devise a methodology for identifying the species of an iris amongst 3 based on 4 distinctive features. We first cover the constitution of the data set and input patterns. We then determine the layout and structure of the neural network we will use for the classification. We continue by testing the network in real life conditions. We conclude with a review of the methods used, and how they could be improved.
- 2014-09-21 00:53:28下载
- 积分：1
