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gmsk
gmsk调制信号的产生,包括求解相位、正余弦表的量化、眼图的产生以及相位路径图的产生(gmsk modulated signal generation, including the solving phase, sine and cosine tables to quantify eye map generation and the generation of phase)
- 2011-05-21 21:19:19下载
- 积分:1
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face_recog
face recognition by using principle component analysis
- 2012-05-15 04:38:32下载
- 积分:1
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svpwmwell_lianxi
matlab做的svpwm仿真的,大家可以看看(do svpwm matlab simulation, we can see)
- 2010-09-16 16:22:11下载
- 积分:1
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xunhuan
将toeplitz矩阵作为压缩感知测量矩阵,并对其进行性能评估。(Toeplitz matrix as the measurement of compressed sensing matrix, and its performance evaluation.)
- 2010-12-27 11:19:59下载
- 积分:1
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canny
说明: matlab基于canny算子进行图像的边缘检测(Canny edge detector algorithm matlab codes )
- 2011-03-23 17:32:33下载
- 积分:1
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theoreticalplate
说明: 一个用于计算精馏塔理论塔板的小程序,可以实现图示化.(a theory used in the calculation of distillation tray of small procedures, can achieve Graphic.)
- 2006-03-22 14:15:30下载
- 积分:1
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moshishibie
通过matlab语言实现Parzen窗估计法,实现结果良好,可供大家使用,互相学习。(Parzen window estimation method by Matlab language to achieve good results for everyone to use, learn from each other.)
- 2012-02-14 16:25:00下载
- 积分:1
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5g-nr-pusch-master
说明: 5G is a project of upcoming technologies in the future
- 2019-12-04 19:58:09下载
- 积分:1
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testtdma
关于无线传感器网络分簇过程中的,时隙分配过程。(On wireless sensor network clustering process, the slot allocation process.)
- 2011-01-14 13:11:32下载
- 积分:1
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DLTcode
Robust Non-negative Dictionary Learning for Visual Tracking
The provided codes could be either embedded into the benchmark framework of paper Online Object Tracking: A Benchmark (CVPR2013) (You can find details here: http://visual-tracking.net/) or run on individual sequence.
To run the benchmark, just put the entire folder into the /trackers folder in the benchmark code base, and modify the configTrackers.m in util folder. DLT gets an AUC of 0.436, which ranks 5th among 26 in the benchmark by 19/03/2014. We don t tune parameters for single sequence in this case, all the parameters are stored in trackparam_DLT.m.
To run on individual video, you need to modify the dataPath and title in run_individual.m.
If you run MATLAB version after 2012, and have a CUDA compatible GPU installed, you may enjoy the fast computation speed by GPU, just set useGPU to true in trackparam_DLT.m and run_individual.m!
- 2014-09-02 12:25:35下载
- 积分:1