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sigma_graphene
说明: 太赫兹和中红外频率下,石墨烯表面电导率的公式(Formula for surface conductivity of graphene at terahertz and mid-infrared frequencies)
- 2019-11-18 13:07:27下载
- 积分:1
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ode45
ode45 function- the matlab code of ode function
- 2010-09-30 02:46:48下载
- 积分:1
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psk
PSK调制的源代码,可以在一个通信系统中或者需要使用调制的时候使用(PSK modulation source code, can be a communication system or need to be used when using modulation)
- 2013-11-08 09:52:49下载
- 积分:1
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intersections
Find intersection of two curve!
enjoy it
- 2013-11-09 01:21:39下载
- 积分:1
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Blatt11
Gauss-Seidel function with example
- 2011-12-21 23:42:27下载
- 积分:1
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idealCentre20150304
一个房地产项目微官网源码,动态效果不错,自适应各种手机屏幕(A real estate project micro website source code, dynamic effect is good, the adaptive to various mobile phone screen)
- 2015-03-23 14:37:57下载
- 积分:1
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LMScomparedwithNLMS
LMS 和 NLMS 算法的比较,用于system identification对在学习随机过程,信号处理,滤波器的人有帮助.(LMS compared with NLAM algorithm for system identification)
- 2019-04-04 11:18:50下载
- 积分:1
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HHT
说明: 希尔伯特黄变换,亲测有效,可放心使用,只是三维图运行会卡顿(三维图部分不确定正确)(Hilbert Huang transform, effective in pro test, can be used at ease, but the operation of 3D map will be stuck (the part of 3D map is uncertain))
- 2020-04-09 15:37:31下载
- 积分:1
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LevenbergMarquardtalgorithmMATlABcodewithtrustregi
这是一个实现Levenberg-Marquardt算法的MATlAB代码,总共4个文件f.m产生目标评价函数,l_m_trust.m是进行L_M算法迭代处理,trtestlm.m是采用置信域方法决定更新参数和置信系数,而测试函数入口时test_lm.m,每个函数里面有详细的中文注释,希望能给你的工作带来帮助!(This is an implementation of Levenberg-Marquardt algorithm MATlAB code, generated a total of four documents fm objective evaluation function, l_m_trust.m is iterative processing algorithm for L_M, trtestlm.m Confidence region method is used decided to update the parameters and confidence coefficient and the test function entrance test_lm.m)
- 2010-06-01 10:10:21下载
- 积分:1
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multi-task_lasso
MMT is a Matlab toolbox implementing the multi-task Lasso models, including: (i) the Lasso (ii) the standard multi-task Lasso, i.e. the group Lasso (iii) the structured input-output multi-task Lasso, a.k.a. the two-graph guided multi-task Lasso proposed in [1]. The last case (iii) subsumes the special cases: tree-guided and the feature-graph guided multi-task Lasso. The core optimization algorithm for solving this model is developed in C to enhance greater computational efficiency. In particular, current scalability of the coefficient matrix that has been tested for MMT is 104*104! The structured input-output multi-task Lasso model is well-suited for addressing the expression quantitative trait loci (eQTL) mapping problems which are of the intrinsic high-dimensional nature. Details can be found in [1].
- 2020-12-05 15:59:23下载
- 积分:1