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imageenhanceinmatlab
image enhancement in matlab!
- 2009-05-04 02:31:16下载
- 积分：1
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MATLAB
该书一本很好的MATLAB仿真教程,特别适合初学者,也可以作为专业人员的参考书(Book is a very good tutorial MATLAB simulation, especially for beginners, but also can serve as a professional reference books)
- 2008-04-12 22:34:04下载
- 积分：1
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MIMO_21_22
MIMO多天线系统仿真程序，分别仿真比较了 AWGN信道 , SISO瑞利衰落信道 , 2发1收Alamouti方案 , 2发2收Alamouti方案 (MIMO multi-antenna system simulation program, were simulated and compared the AWGN channel , SISO Rayleigh fading channels , two fat a close Alamouti scheme , two 2 admission Alamouti scheme )
- 2014-10-24 16:36:43下载
- 积分：1
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cqt_toolbox
toolbox which campute a constant-Q transform cqt for the music processing.
- 2020-10-30 15:39:56下载
- 积分：1
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MCM1
在matlab环境下，采用pde方法编程实现了ＭＣＭ方程(In matlab environment, the use of PDE method of programming the MCM equation)
- 2007-12-24 14:52:29下载
- 积分：1
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RSP_Small_Target_Detection
雷达之小目标检测（隐身飞行器和武装直升机的雷达监测）(small radar target detection (stealth aircraft and armed helicopters and radar monitoring))
- 2007-01-04 14:04:47下载
- 积分：1
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gif_make
在gif_make 联合开发网 - pudn.com
- 2014-01-22 13:22:09下载
- 积分：1
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vetioatate
We propose a novel fluorescence emission difference microscopy (FED) system based on focusing cy-
lindrical vector beams. In conventional FED, a Gaussian beam and a 0–2 π vortex phase plate are used to
generate solid and hollow spots. We focus radially polarized and azimuthally polarized cylindrical vector
beams to obtain an expanded solid spot and a shrunken hollow spot, taking advantage of the optical
properties of cylindrical vector beams to improve the conventional FED performance. Our novel method
enhances FED performance
- 2016-11-22 17:51:52下载
- 积分：1
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SPCA_ALM
主要是用PCA主矢量分析的方法在稀疏优化的运用，代码简单易懂，适合初学者(The method is mainly used in the PCA main vector analysis to optimize the use of sparse code easy to understand for beginners)
- 2014-05-20 18:58:12下载
- 积分：1
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D2dataset-master
Perform SVM and test results
a) For now, assume that the main script is grid_search.IT performs a grid search for SVM using RBF kernel , for the 2 parameters C and gamma .Criterios for choosing the right values is the F1 score and accuracy of the classifier. b) Having choosen the right parameters , the next step is to convert binary values to probabilities.
- 2017-09-25 19:17:20下载
- 积分：1
