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ch01_2ed
CHAPTER 1- real-Time Digital Signal Processing: Implementations and Applications, Second Edition by Sen M. Kuo, Bob H. Lee & Wenshun Tian, ISBN 0470014954
- 2009-03-21 21:45:45下载
- 积分：1
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Paper
particle filter on mimo ofdm system
- 2013-03-24 23:40:47下载
- 积分：1
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Edge-Detection-and-Segmentation
edge detection and segmentation is done for an image.Detect whether pedestrian is there in the image set
- 2012-11-21 13:10:08下载
- 积分：1
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matlab实现 边缘预测
说明： 边缘预测提出了一种基于预测的、有一定自适应性的边缘检测方法。介绍了其原理和算法实现过程。通过计算两个相邻像素的灰度值的均值、均方差和梯度来预测下一个像素的灰度值,比较预测值和真实值来判断下一个像素是否是边界点。通过与现有同类算法的比较,证明了该算法的优越性(A predictive and adaptive edge detection method is proposed. The principle and implementation process of the algorithm are introduced. The gray value of the next pixel is predicted by calculating the mean, mean square deviation and gradient of the gray value of the two adjacent pixels. The prediction value and the real value are compared to determine whether the next pixel is a boundary point. The superiority of this algorithm is proved by comparing with the existing similar algorithms.)
- 2020-06-18 02:20:02下载
- 积分：1
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downlink
matlab with simulink can do simulation of wimax before you can model your system then simulate to improve the performance
- 2010-01-31 06:53:56下载
- 积分：1
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code
OFDM添加高斯白噪声 通过交织和解交织 对其进行编解码的程序(By adding Gaussian white noise OFDM intertwined intertwined reconciliation procedures for its codec)
- 2010-11-19 16:01:42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
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ar(5)
一个五阶的自回归短期预测模型的MATLAB程序(A AUTOREGRESSion model used to prediction)
- 2011-05-10 11:49:10下载
- 积分：1
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Filter_LMS_mu
研究用于自适应均衡器的LMS算法。研究步长的影响。分别画出W=2.9时，mu= 0.01、0.04和0.08情况下的MSE学习曲线(Research for the adaptive LMS algorithm equalizer. Research on the impact of the step. Draw W = 2.9, respectively, when, mu = MSE learning curve 0.01,0.04 and 0.08 in case of)
- 2014-01-29 12:13:40下载
- 积分：1
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Archive-3
Aes encryption using matlab
- 2016-04-21 00:12:57下载
- 积分：1
