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discreteconsensus
多个体协调控制,可以实现多个个体的状态在切换拓扑下达到一致(multi-agent system coorination)
- 2021-03-18 23:09:19下载
- 积分：1
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Butterworth1
Butterworth滤波器
内含一个文本文档，输入MATLAB后可直接运行
(Butterworth filter contains a text document, input can be directly run MATLAB)
- 2010-06-12 16:50:00下载
- 积分：1
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Fisher
fisher线性鉴别分析 用matlab实现的源代码 对于ORL库德识别率达到96 以上(fisher Linesr discriminant analysis)
- 2010-08-15 10:09:25下载
- 积分：1
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Dynamics-Analysis-by-Numercial-Integration
matlab progrmas for FEM
- 2012-06-04 22:30:58下载
- 积分：1
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梁形成 MQAM 调制
未编码的自适应 M-QAM 传输的单位瑞利衰落信道下这里在一部小说的方式进行了优化信道预测误差的存在。调制速率是确定基于预测的信道状态。调制速率限制是通过最大化吞吐量在 errorfree 中调整链路层帧，真正通道的概率密度函数的平均值状态。没有一点错误速率约束被强加。这种方法是适当时快速链路级重传可以用来达到所需的错误级别。由此产生的方案进行评价分析在多用户环境中，预测链接适应使用与调度策略的组合它提供多用户分集增益。典型的预测误差未来的空间预测 113 波长然后将结果在只8%-12%的频谱效率，作为相比减少例完全已知的渠道。由此产生的性能非常的鲁棒性预测误差方差假设当优化率适应方案。
- 2022-02-22 01:29:40下载
- 积分：1
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gbt function
Copyright (c) 2012, Rongwen Lu
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are
met:
* Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in
the documentation and/or other materials provided with the distribution
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
ARE DISCLAIMED. IN
- 2022-09-24 16:10:03下载
- 积分：1
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ICA.25
独立成分分析的matlab实现，适合初学者学习和使用(Independent component analysis matlab implementation, suitable for beginners to learn and use)
- 2011-04-19 11:06:06下载
- 积分：1
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Archiv
Some logic stuff. for example Recursive Pi calculation. Part of Thesis at the TH-Nuernberg
- 2014-10-11 11:36:11下载
- 积分：1
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基于harris角点检测的两幅图像拼接matlab实现
基于harris角点检测的两幅图像拼接matlab实现
- 2021-05-06下载
- 积分：1
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fit_mix_gaussian
fit_mix_gaussian - fit parameters for a mixed-gaussian distribution using EM algorithm
format: [u,sig,t,iter] = fit_mix_gaussian( X,M )
input: X - input samples, Nx1 vector
M - number of gaussians which are assumed to compose the distribution
output: u - fitted mean for each gaussian
sig - fitted standard deviation for each gaussian
t - probability of each gaussian in the complete distribution
iter- number of iterations done by the function
- 2011-02-09 19:05:43下载
- 积分：1
