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cspdk
微软出的CSPDK,可以在2000 sp2及其以下版本使用(Microsoft out CSPDK, in 2000 sp2 and the following version of the use of)
- 2007-09-12 13:42:16下载
- 积分:1
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Matlab-tuxianghanshudaquan2010
Matlab中图像函数大全2010(免费版)(Matlab image function in Daquan 2010 (free version))
- 2011-10-10 22:18:44下载
- 积分:1
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MadHG
利用函数MadHG生成规则LDPC码的校验矩阵H,其行重为6,列重为3,行数为列数一半(行数越大越好),H中任意两列没有围长为4的圈,并得到H对应的生成矩阵G,可以保证mod(G*H ,2)=0。使用方法为:[H,G] = MadHG(m,n,x),x= 1(得到的G左半部分为单位阵) or 2(G右半部分为单位阵),(use function MadHG Generation rules LDPC check matrix H, re-6, series of three, out for a few half of the number (A bigger the better), H 2 arbitrary no girth of the four circles, H counterparts and with the formation of matrix G, we can be assured of mod (G* H, 2) = 0. To be used : [H, G] = MadHG (m, n, x), x = 1 (the G part of the Left Front units) or 2 (G right half of the units RUF),)
- 2007-05-12 10:54:46下载
- 积分:1
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filter-
用MATLAB实现线性平滑滤波器和中值滤波器(To realize the linear smoothing filter and median filter using MATLAB)
- 2014-01-29 01:57:53下载
- 积分:1
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PSD
傅里叶变换过程中由于时域信号长度有限,变换后有可能漏掉大的频谱分量(Fourier transform process, due to the finite length of the time domain signal, after conversion may miss a large spectral components)
- 2013-04-10 22:29:53下载
- 积分:1
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20150310VC-AND-DTC
矢量控制的直接转矩的仿真图,使用版本matlab2010a,程序可以用(simulink of matlab)
- 2015-03-10 16:47:12下载
- 积分:1
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newRayleigh
matlab program for simulating Rayleigh fading channel
- 2009-03-13 20:20:34下载
- 积分:1
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PCA_face222
主成分分析(PCA)算法是用于简化数据的一种技术,对于某些复杂数据就可应用主成分分析法对其进行简化。
- 2010-06-02 15:41:47下载
- 积分:1
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datestr8601
快速转换的矢量/数字字符串的日期。可选的输入令牌/ s的字符串中的日期/时间控制:多个输入令牌可以用来创建多个输出字符串。
令牌提供使用ISO 8601的风格的日期,或单一的日期值。(The rapid conversion of the vector/digital string date. Optional input token/s string date/time control: a plurality of input tokens can be used to create multiple output string.
The token is provided using a ISO 8601style date, or a single date value.)
- 2012-05-02 20:27:12下载
- 积分:1
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MRF-for-Vision-and-Image-Processing
计算机视觉大牛Andrew Blake著的书。
《视觉和图像处理中的马尔科夫随机场》
Markov random fields for vision and image processing(This book sets out to demonstrate the power of the Markov random field (MRF) in vision.It treats the MRF both as a tool for modeling image data and, coupled with a set of recently
developed algorithms, as a means of making inferences about images. The inferences concern underlying image and scene structure to solve problems such as image reconstruction,
image segmentation, 3D vision, and object labeling. This chapter is designed to present some of the main concepts used in MRFs, both as a taster and as a gateway to the more
detailed chapters that follow, as well as a stand-alone introduction to MRFs.)
- 2013-04-15 22:56:37下载
- 积分:1