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《射频电路设计——理论与应用》一书课课后习题第一章Matlab程序代码-RF_ch01
《射频电路设计——理论与应用》一书课课后习题第一章Matlab程序代码("RF circuit design-- Theory and Application," a book first lesson after lesson Exercises Chapter Matlab code)
- 2005-04-04 19:41:41下载
- 积分:1
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mimosimulation
说明: mimo工具箱 多输入多输出天线功能函数箱 可以提供信道仿真(The MIMO Toolbox is a collection of Matlab functions and a GUI. Its purpose is to complement the Control Toolbox for Matlab with functions capable of handling the multivariable input-output scheme.The MIMO Toolbox was developed for Matlab 7.
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- 2011-04-16 17:24:46下载
- 积分:1
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dongtaijuzhenshil
模型预测控制算法由于采用了多步预测、滚动优化和反馈校正等控制策略,因而具有控制效果好、鲁棒性强、对模型精确性要求不高的优点。
希望对相关人有帮助(Model predictive control algorithm using a multi-step prediction , rolling optimization and feedback correction, control strategies, and thus has good control effect , the robustness of the model accuracy and less demanding .
Related people)
- 2021-03-22 15:59:16下载
- 积分:1
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Fuzzy_control-
自己设计的一个模糊逻辑控制器,利用simulink模块进行仿真。 请注意在仿真之前先在matlab command window里输入 load fuzzy.dis 进行预读取(Own design a fuzzy logic controller using simulink simulation module. Please note that the first input load fuzzy.dis before simulation in matlab command window in the pre-read)
- 2014-12-14 12:25:59下载
- 积分:1
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roboticstoolbox
对matlab中的robotics toolbox中的函数功能及作用进行详细解说,方便初学者掌握函数。(Robotics toolbox for matlab in the function and role function in the detailed explanations, easy for beginners to master functions.
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- 2011-01-13 09:50:35下载
- 积分:1
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dds
说明: 用MATLAB观察DDS输出波形 用MATLAB观察DDS输出波形 (Using MATLAB to observe DDS output waveform using MATLAB observation DDS output waveform)
- 2008-09-05 15:58:25下载
- 积分:1
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on
说明: 基于m序列的直接序列扩频系统的抗噪声性能仿真 (Anti-noise performance simulation based on direct sequence spread spectrum system m sequences)
- 2013-11-23 15:40:13下载
- 积分:1
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ODMCMCPsf
用matlab编写的空间矢量调制方法,不错,已测试过了(Written by matlab space vector modulation)
- 2011-05-17 18:29:45下载
- 积分:1
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MITmatlab
麻省理工的matlab课件,包括基础知识及一些例子,相当不错(The ppt from MIT in matlab )
- 2012-09-03 12:14:38下载
- 积分:1
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Machine_Learning
包括无监督和监督的机器学习技术
• K-means and other clustering tools
• Neural Networks
• Decision trees and ensemble learning
• Naï ve Bayes Classification
• Linear, logistic and nonlinear regression(Highlights include unsupervised and supervised machine learning techniques including:
• K-means and other clustering tools
• Neural Networks
• Decision trees and ensemble learning
• Naï ve Bayes Classification
• Linear, logistic and nonlinear regression)
- 2013-11-18 14:45:41下载
- 积分:1