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OfdmOmp
OFDM OMP算法在matlab中的编码程序，主要是正交匹配追踪MP的算法代码，实现信号的稀疏分解。(The coding program of OFDM OMP algorithm in MATLAB is mainly the algorithm code of orthogonal matching pursuit MP to realize sparse signal decomposition.)
- 2020-07-23 10:38:44下载
- 积分：1
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ict_driver_article
Instrument Control Toolbox 2 supports industry-standard IVI and VXIplug&play drivers, as well as stand-alone MATLAB instruments drivers. This archive contains examples of using these drivers.
- 2010-05-28 12:30:21下载
- 积分：1
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add_new_hypotheses
this is a subfile for motion detection
- 2010-08-05 18:47:00下载
- 积分：1
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work
本人的仿真作业，主要是使用lms算法来观察均方误差和迭代步长等的关系。(My simulation work, mainly the use of lms algorithm is used to observe the mean-square error and the iterative steps long relationship.)
- 2009-12-15 22:34:01下载
- 积分：1
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invariantMoment
invariant moment feature selection of an image, matlab code
- 2011-10-22 16:44:56下载
- 积分：1
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此仿真模型采用pmsg电机应用
建立风力发电机模型，此仿真模型采用pmsg电机应用，再根据PI控制器方法构造控制器，达到能控制发电机的转速、转角等等等(Build wind generator model, the simulation model using pmsg motor applications, according to PI controller method to construct the controller, to control the generator speed, angle, etc., before running this simulink model, it should also write the reference value code to run.)
- 2016-04-02 11:14:02下载
- 积分：1
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matlab-programming
介绍matlab编程的基本知识，对于初学者来说很有用(matlab programming course
)
- 2011-06-01 16:04:15下载
- 积分：1
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libelas
Libelas(大规模高效立体匹配库)是cross-platfrom c++
图书馆与MATLAB计算包装差异大的地图图像。输入
是一双纠正灰度立体图像的大小相同。输出相应的
差距的地图。(Libelas (LIBrary for Efficient LArge-scale Stereo matching) is a cross-platfrom C++
library with MATLAB wrappers for computing disparity maps of large images. Input
is a rectified greyscale stereo image pair of same size. Output are the corresponding
disparity maps.)
- 2013-12-12 23:36:22下载
- 积分：1
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Ali
ALAMOUTI performs Monte-Carlo simulation and estimates Bit Error Rate (BER) of Alamouti Scheme [1] over Rayleigh channel
- 2015-04-04 10:04:23下载
- 积分：1
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-svdd
说明： SVDD 是一种重要的数据描述方法, 它能够对目标数据集进行超球形描述, 并可用于异类点检测或分类. 在现实生活中目标数据集通常包含多个样本类, 且需要同时对每一个样本类进行超球形描述。(SVDD is an important data description method, which can describe the hypersphere of the target data set, and can be used for the detection or classification of heterogeneous points. In real life, the target data set usually contains multiple sample classes, and needs to describe each sample class at the same time.)
- 2020-03-24 09:37:24下载
- 积分：1
