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2222
与marlab有关的牛顿插值问题 很经典的例程
给广大爱好者一臂之力(With marlab the classic Newton interpolation routines to large hand fans)
- 2010-05-12 00:28:30下载
- 积分:1
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SVD-BASED
一种基于奇异值分解的数字水印技术,这是一篇很经典的文章,再此文章之后,基于svd的水印技术大量出现(a digital watermarking technologybased on Singular value decomposition , which is a classic article, and then, after this article, the watermarking technique based on large numbers of svd)
- 2010-05-19 23:04:15下载
- 积分:1
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Array_antenna_study
阵列分析与综合入门代码,含比较好的绘图模块(Array analysis with the entry code, with better graphics module)
- 2013-03-04 17:50:37下载
- 积分:1
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fraction_bn
绘制分数阶bode曲线和奈奎斯特曲线的matlab代码(To draw fractional bode curve and Nyquist curve matlab code)
- 2021-04-09 10:19:00下载
- 积分:1
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MATLAB-simulation
电力电子应用技术MATLAB仿真,供初学者学习初级仿真学习 (The application of power electronics technology, MATLAB simulation, for beginners to learn the primary simulation study)
- 2015-02-02 22:42:02下载
- 积分:1
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BP
说明: 基于小波分析,粒子群算法的在matlab开发环境中的电网潮流优化(Based on wavelet analysis, power flow in matlab Particle Swarm Optimization development environment)
- 2016-04-06 16:52:43下载
- 积分:1
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Pattern11
说明: In the field of communication systems, whenever the need for wireless communication arises, there occurs the necessity of an antenna. Antenna has the capability of sending or receiving the electromagnetic waves for the sake of communication, where you cannot expect to lay down a wiring system. The following scenario explains this.
- 2020-06-24 22:40:01下载
- 积分:1
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李雅普诺夫稳定性分析
说明: 李雅普诺夫稳定性分析,包含几种典型用例,调整ode45中背调函数,即可实现不同案例的李雅普诺夫稳定性分析。(Lyapunov stability analysis, including several typical cases, can achieve Lyapunov stability analysis of different cases by adjusting the back tone function in ode45.)
- 2020-09-01 14:05:38下载
- 积分:1
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huiseyuce
灰色预测模型,详细介绍了灰色预测的理论及前景(Grey forecasting model, described in detail the theory and prospects Grey)
- 2010-10-11 10:16:51下载
- 积分:1
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KNNMeanFilter
说明: 原理:以待处理的像素作为中心,取一个nXn的模板,在模板中选择k个与待处理像素的值最接近的像素,将这k个像素的均值替换原来的像素值。
假设n=3,k=5,调用方法:b = KNNMeanFilter(a, 3, 5)(Principle: to be treated as the center pixel, take a nXn template select the template and the pending k-nearest pixel values of pixels, this k pixels mean replacing the original pixel value. Assuming n = 3, k = 5, call the method: b = KNNMeanFilter (a, 3, 5))
- 2010-05-03 10:14:15下载
- 积分:1