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LMFnlsq2test
结合上传的LMFnlsq2testPDF.rar文件，可以轻松的明白本程序的实现步骤以及编程思想。(Combination of upload LMFnlsq2testPDF. Rar file, can easily understand the program implementation steps and the programming ideas.)
- 2014-11-12 22:07:21下载
- 积分：1
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mobanpipei
用matlab写的模板匹配算法，用于基于轮廓提取的多边形近似匹配算法(Matlab write template matching algorithm for approximate matching algorithm based on contour extraction polygon)
- 2013-04-10 20:03:58下载
- 积分：1
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MATLABstudy
这是一篇关于学习matlab的课件，比较详细的课件，拿来共享一下(This is an article on the matlab learning courseware, a more detailed courseware, you used to share)
- 2009-04-28 11:02:35下载
- 积分：1
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Order-Statistics-3rd[1]
order static是在天线选择，用户选择中经常使用到的方法，这本书详细介绍了关于orderstatic的理论(order static in antenna selection, the user selects the method often used, this book details the theory on the orderstatic)
- 2011-06-12 16:35:15下载
- 积分：1
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xinhaochul
基于脉冲响应不变法巴特沃斯滤波器的设计 通过仿真出图像，从而进行分析(failed to translate)
- 2012-04-05 20:34:27下载
- 积分：1
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SORwudian
本例用五点差分法求解一个二阶偏微分方程，其间用SOR迭代求解(This example uses a five-point difference method for solving second order partial differential equations, with the SOR iterative solution during)
- 2011-08-24 21:54:15下载
- 积分：1
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predictive-models
一些常见的数据预测模型matlab源代码(Some matlab source code of common data predictive models )
- 2013-05-10 22:17:13下载
- 积分：1
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kmeans
说明： k均值算法是一种迭代求解的聚类分析算法，其步骤是随机选取K个对象作为初始的聚类中心，然后计算每个对象与各个种子聚类中心之间的距离，把每个对象分配给距离它最近的聚类中心。聚类中心以及分配给它们的对象就代表一个聚类。(kmeans algorithm is an iterative solution clustering analysis algorithm. First, the initial clustering centers are randomly selected. Then, distance between between each point ans others are calculated, and each data point is designed to its nearest clustering center.)
- 2020-06-21 23:40:01下载
- 积分：1
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LVBO
我的数字信号处理课程设计，感觉做的一般。(My digital signal processing curriculum design, make the general feeling.)
- 2008-06-06 21:30:52下载
- 积分：1
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system-and-stability
描述系统（有输入和无输入），通过系统状态矩阵判断系统稳定性，可控性，可观性(Describe the system (with input and no input), the system state matrix to determine the system stability, controllability, observability)
- 2011-11-18 20:53:46下载
- 积分：1
