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sys4project
this is some codes in systems
- 2010-01-18 09:54:26下载
- 积分：1
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RPCA
基于低秩矩阵恢复的背景建模的目标检测代码(Based on the recovery of low-rank matrix background modeling target detection code)
- 2021-03-24 20:09:14下载
- 积分：1
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TIMING_estimation
OFDM信号的时间偏差校正程序，用于估计OFDM信号的时间偏差(OFDM signals in time warp correction procedure used to estimate the OFDM signals in time warp)
- 2007-08-08 20:26:16下载
- 积分：1
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code
Matlab7.x图像处理 光盘内容，吐血推荐，是用MATLAB进行处理的入门书籍之一(CD-ROM content Matlab7.x image processing, hematemesis recommendation is to use MATLAB to deal with one of the entry-book)
- 2009-07-11 14:04:41下载
- 积分：1
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expfit
fit programme for a serials of data(fit program for a serials of data)
- 2007-05-15 17:02:08下载
- 积分：1
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DLT_homography
homography calculation by using the DLT method
- 2010-05-25 19:12:57下载
- 积分：1
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LMS-bandnew
脑电中的递归式的处理方法，相比参数估计的方法更加智能，ＬＭＳ是最小均方误差法，是十分经典的一种方法，里面是包括一些最新的改进。(EEG recursive style approach, parameter estimation method compared to more intelligent, LMS is the minimum mean square error method is a very classical approach, which is to include some of the latest improvements.)
- 2013-11-26 11:16:57下载
- 积分：1
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Kmeans
该算法是实现Kmean聚类算法。包含初始聚类中心，聚类成员列表，最终聚类中心，最终聚类中心的距离，方差分析表，每个聚类中的案例数。(The algorithm is a clustering algorithm to achieve Kmean. Contains the initial cluster centers, cluster membership list, the final cluster centers the final cluster centers, ANOVA table, the number of cases in each cluster.)
- 2015-03-19 10:25:35下载
- 积分：1
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chengxu
基于小波变换的多尺度图像边缘检测matlab源代码，实现图像的边缘检测功能和技术(Detection matlab source code multi-scale image edge based on wavelet transform, image edge detection features and technologies)
- 2014-01-07 14:24:00下载
- 积分：1
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xinhaoxishubiaoshi
信号稀疏表示是一种新兴的信号分析和综合方法，其目的就是在过完备字典中用尽可能少的原子来表示信号。采用时频原子字典的信号稀疏表示能够有效地揭示非平稳信号的时变特征。信号稀疏表示吸引了研究者的大量关注，这种方法已经被应用到信号处理的许多方面，例如非平稳信号分析，信号编码、识别与信号去噪等。(Signal sparse representation is a new method of signal analysis and synthesis, and its purpose is in over-complete dictionary of atoms using as little as possible to represent the signal. When using frequency atom dictionary signal sparse representation can effectively reveal the time-varying characteristics of non-stationary signals. Signal sparse representation attracted a lot of attention of researchers, this method has been applied to many aspects of signal processing, such as non-stationary signal analysis, signal encoding, recognition and signal denoising.)
- 2016-12-06 14:15:49下载
- 积分：1
