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SegmentationforCortina
一种基于图像内容的分割，该压缩包内含有与该分割方法相关的英文文献，可以好好研究，(effcient Graph-Based Image Segmentation)
- 2009-04-15 22:02:52下载
- 积分：1
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Matlab
《Matlab系统分析与程序设计》经典ppt教程()
- 2008-03-27 09:41:55下载
- 积分：1
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OFDM
华中科技大学硕士研究生OFDM程序，已经通过验证。matalb(OFDM Huazhong University of Science graduate program, has been validated
)
- 2011-07-07 19:54:35下载
- 积分：1
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99273902BP_decode
In our following paper, we find that the shortten codes of DVB-S2 have some problems,this program can provide a good DVB-S2
- 2010-01-09 23:55:05下载
- 积分：1
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Fast_NCC_Corr
说明： matlab写的图像匹配算法 十分有效可用 值得学习！(matlab write very effective image matching algorithm can be worth learning!)
- 2011-03-25 13:50:13下载
- 积分：1
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winer
通过边界延拓方法，改进的利用维纳滤波实现模糊图像的复原。(Through the boundary extension method, the improved Wiener filter using the fuzzy image restoration.)
- 2011-05-30 17:42:22下载
- 积分：1
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SCSToolboxV2
将压缩感知用于谱估计中，根据论文谱压缩感知的一些程序(Compressive sensing (CS) is a new approach to simultaneous sensing and compression of sparse
and compressible signals based on randomized dimensionality reduction. To recover a signal from its
compressive measurements, standard CS algorithms seek the sparsest signal in some discrete basis or
frame that agrees with the measurements. A great many applications feature smooth or modulated signals
that are frequency sparse and can be modeled as a superposition of a small number of sinusoids.
Unfortunately, such signals are only sparse in the discrete Fourier transform (DFT) domain when the
sinusoid frequencies live precisely at the center of the DFT bins. When this is not the case, CS recovery
performance degrades significantly. In this paper, we introduce a suite of spectral CS (SCS) recovery
algorithms for arbitrary frequency sparse signals. The key ingredients are an over-sampled DFT frame, a
signal model that inhibits closely spaced sinusoids, and classical sinusoid parameter e)
- 2012-06-29 10:10:42下载
- 积分：1
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mppt_SCIG
MPPT using slidingmode control for DFIG
- 2020-11-09 09:49:47下载
- 积分：1
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Project
matlab实现包络检波的一个小函数，以及2FSK信号生成和相干解调(A small function to achieve Envelope detection)
- 2017-06-14 20:25:30下载
- 积分：1
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AutomaticSpectra
Accurate estimates of the autocorrelation or power spectrum can be obtained with a parametric model (AR, MA or ARMA). With automatic inference, not only the model parameters but also the model structure are determined from the data. It is assumed that the ARMASA toolbox is presen
- 2008-05-23 08:31:56下载
- 积分：1
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