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MIRT2D_WIN
说明： 自适应正则化方法进行图像配准的matlab代码，带有测试图像数据(Adaptive regularization method for image registration of the matlab code image data with the test)
- 2010-04-08 09:54:36下载
- 积分：1
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cov
详细介绍了MATLBA中的COV函数的使用和作用(Introduces the use of MATLBA COV function and role
)
- 2011-09-24 10:52:58下载
- 积分：1
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helicopter_simulink_model
This report is written in fall semester of 2004 and spring semester of 2005 at Aalborg
University, at the institute for Electronic Systems, department for process control
under the study council for Electronic and Informations Technology.
- 2020-12-03 17:09:25下载
- 积分：1
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algothin
主要给出了用小波的二进制进行图像放大的一些程序(Are given for the use of wavelets for image to enlarge some of the binary program)
- 2010-09-11 10:52:01下载
- 积分：1
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wireless-ofdm-system
基于802.1a 标准下ofdm的整套仿真(the entrie simulate ofdm system program base on the 802.11a standar )
- 2011-05-16 18:57:38下载
- 积分：1
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zm1
雷达阵列天线的天线图，学习阵列信号处理可能会用得上(Radar array antenna of the antenna diagram, learning array signal processing may need them)
- 2012-06-13 22:29:43下载
- 积分：1
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MoM_dipole_antenna
矩量法matlab求对称阵子天线方向图,同时附有Hallen方程的解题思路(MoM dipole antenna)
- 2015-04-22 18:32:35下载
- 积分：1
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noise-estimation
Noise estimator for SENSE MRI
The Maximum Spacing Noise Estimation in Single-coil Background MRI Data
Signal Dependent Noise Level Estimation
Fast Noise Estimation in Images
Detail Preserving Anosotropic Diffusion for Speckle Filtering (DPAD)
2-D adaptive noise-removal filtering
Noise estimators for MRI data Toolbox
Noise estimation rician noise corrupted images
- 2015-05-14 16:11:22下载
- 积分：1
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BrugLevinson
MATLAB实现功率谱估计的程序最大熵谱法,Brug法和Levinson法。(MATLAB realize the power spectrum estimation procedure for maximum entropy spectral method, Brug law and Levinson Law.)
- 2008-03-20 19:46:56下载
- 积分：1
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work
matlab 关于association rule 的自己写的函数，有3个文件,
association.m：h = association(m, i, j)
i=>j, m是数据，h是support和confidence，该函数只适用于单个数据
ass_item: h=ass_itset(m, a, b)
同上，但是可用于多个数据（m为数组）
assrule: h = assrule(m, threshold1, threshold2)
该函数用于classification， 得到规则，threshold1为要求的support,threshold2为要求的confidence，h 则为符合要求的规则及其support和confidence，前2列为规则，后2列为其support和confidence
(matlab on the association rule to write functions, there are 3 files, association.m: h = association (m, i, j) i => j, m is the data, h is the support and confidence, this function applies only to a single Data
ass_item: h = ass_itset (m, a, b) it is the same as above, but it can be used for multiple data (m can be matrix)
assrule: h = assrule (m, threshold1, threshold2) the function used for classification,get the rules, threshold1 is the require of support, threshold2 is the required of confidence, h is the rules and their support and confidence, the former two columns as a rule, the latter two columns as one of its support and confidence)
- 2009-12-15 02:51:44下载
- 积分：1
