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MinCut
这是一个非常好的图象分割程序,基于纹理分割的,保证别人没有上传过(very good image segtation)
- 2009-11-02 11:10:04下载
- 积分：1
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top-hat
说明： 顶帽变换的程序，能够实现平滑图像的效果。(Cap transformation process, to achieve the effect of smoothing the image.)
- 2011-04-09 10:11:39下载
- 积分：1
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碰撞频率不同
说明： 电磁波在碰撞频率不同的等离子体中传输，碰撞频率人为设置(microwave propagation in plasma with different collision frequency)
- 2020-09-22 20:47:50下载
- 积分：1
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数字信号处理实验
数字信号处理相关实验，包括求系统零极点，快速傅里叶变换，长序列卷积，FIR，IIR等。(Digital signal processing related experiments, including zero and pole of the system, fast Fourier transform, long sequence convolution, FIR, IIR and so on)
- 2018-09-25 09:55:06下载
- 积分：1
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baoluo
说明： 对信号进行傅里叶频谱求解，同时进行包络谱的结算(The signal is solved by Fourier spectrum, and the envelope spectrum is settled at the same time)
- 2021-04-15 19:49:08下载
- 积分：1
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matlab files for download
matlab code for maximal se master
- 2020-06-24 16:40:02下载
- 积分：1
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基流分割程序
tvfemd可进行序列分解，比emd分解效果可能要好一点。(he sifting process is completed using a time varying filter technique.The local cut-off frequency is adaptively designed by fully facilitating the instantaneous amplitude and frequency information. Then nonuniform B-spline approximation is adopted as a time varying filter. In order to solve the intermittence problem, a cut-off frequency realignment algorithm is also introduced. Aimed at improving the performance under low sampling rates, a bandwidth criterion for intrinsic mode function (IMF) is proposed. TVF-EMD is fully adaptive and suitable for the analysis of linear and non-stationary signals. Compared with EMD, the proposed method is able to improve the frequency separation performance, as well as the stability under low sampling rates. Besides, the proposed method is robust against noise interference.)
- 2018-07-19 11:36:59下载
- 积分：1
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Mumford
说明： 采用水平集（level set）方法和mumford-shah图像分割模型的图像分割matlab源代码。(horizontal Collection (level set) methods and Mumford- shah Segmentation Model Image segmentation Matlab source code.)
- 2006-02-21 14:08:29下载
- 积分：1
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czqh123
垂直切换功能，完成异构网络之间的切换，保证通信的无缝连接，提高用户体验值(Vertical handover function, complete the handover between heterogeneous networks, ensuring seamless connectivity of communication, improve the user experience value.)
- 2014-12-15 17:42:25下载
- 积分：1
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ica (2)
说明： 解决正定盲源分离方法，基于负熵的独立成分分析(Solve positive-determined blind source separation methods, independent component analysis based on negative entropy)
- 2019-12-16 17:31:16下载
- 积分：1
