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markov-processes
Markov processes马尔科夫决策过程代码
包含状态分布 决策过程 以及结果对比 通信方向 认知无线电系统(Markov processes 马尔科夫决策过程代码
包含状态分布 决策过程 以及结果对比 通信方向 认知无线电系统)
- 2015-12-24 09:59:36下载
- 积分:1
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robotic
robotic code fore rotation
- 2011-01-04 03:35:42下载
- 积分:1
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QAMPModemPDemo
说明: 基于MATLAB/GUI的M-QAM调制解调及误码率,本文件是在MATLAB2009a版本上设计的,低于此版本的有可能会出错。
此文件中“M_QAM.m”是主文件,其他均为调用文件,该程序实现了MQAM的调制解调功能,并画出了每一步的波形
(Based on MATLAB/GUI s M-QAM modulation and demodulation and bit error rate, this document is designed MATLAB2009a version, this version is lower than might be wrong. This file is in the " M_QAM.m" is the main document, others are calling the file, the program implements the MQAM modulation and demodulation functions, and draw the waveform of each step)
- 2011-03-30 00:19:50下载
- 积分:1
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MatlabandVB
第一章 概述
辨识(Identification)、状态估计和控制理论在现代控制理论中是密不可分的,它们互相渗透。辨识和状态估计离不开控制理论的支持,控制理论的应用几乎不能没有辨识和估计技术。由此可见,辨识在科研与实际应用领域都有很高的实用价值。
所谓辨识,就是从含有噪声的输入、输出数据中提取被研究对象的数据模型。此数据模型只是过程的输入输出特性在某种意义下的近似,而近似的准确度一般取决于采样数据的精度以及辨识方法的合理性。
辨识的目的是根据过程所提供测量的数据等信息,在某种准则意义下,估计出模型的未知参数,其基本原理如图1.1所示:
(Identification (Identification), state estimation and control theory in modern control theory are inextricably linked, they penetrate each other. Identification and control of state estimation theory is inseparable from the support of the application of control theory can hardly no identification and estimation techniques. This shows that the identification of the research and practical application areas have high practical value. The so-called identification, is to contain noise from the input and output data from the study was the data model. This data model is the process of input and output characteristics in a certain sense of approximation, while similar to the general accuracy of the data depends on the accuracy of sampling and identification method is reasonable. Identification wit)
- 2006-05-26 11:41:04下载
- 积分:1
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get_ft
input: fun x(t) t min & t max a df
T = t_max-t_min
fs = a*1/T
输入1:方程,xt;输入2,3:信号起始时间;输入4:选取的采样周期是信号长度倒数的倍数,
默认为50;输入5:频域分辨率,默认为0.3
输出频域信号和频域范围
为了提高fft的速度,频域信号长度是2的次方( Input: fun x (t) t min & t max a df T = t_max-t_min fs = a* 1/T Input 1: Equation XT input 2,3: signal start time input 4: select the sampling period is the reciprocal multiples of the signal length, default is 50 input 5: frequency domain resolution, default is 0.3 of the output frequency domain signal and the frequency domain in order to improve the speed of the FFT, the frequency domain signal length is a power of 2)
- 2012-10-16 20:26:20下载
- 积分:1
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PSO-BP-wind-power
采用粒子群算法PSO优化BP神经网络,进行风电功率预测,含实际数据和案例(Particle swarm optimization PSO BP neural network for wind power prediction, including the actual data and case)
- 2021-01-21 10:58:46下载
- 积分:1
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对单个机器人连杆进行动力学仿真,仿真环境为MATLAB simulink
说明: 对单个机器人连杆进行动力学仿真,仿真环境为MATLAB simulink(The dynamics simulation of a single robot link is carried out in MATLAB Simulink.)
- 2021-03-10 10:19:27下载
- 积分:1
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WavefieldModellingInMatlab
This ppt is a introduction of how to simulate wave fields using matlab
- 2010-11-18 21:15:15下载
- 积分:1
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ga_work1
利用改进的遗传算法求取函数的最大值,进行优化设计,在MATLAB下可以运行使用。(Using improved genetic algorithm to strike a function of the maximum optimized design, the use of MATLAB can be run under.)
- 2009-11-10 10:34:38下载
- 积分:1
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LPT-cycle-phase-associated-with-the-scene-matching
采用循环相位相关的LPT景像匹配算法(图像匹配)(LPT cycle phase associated with the scene matching algorithm (matching))
- 2010-12-27 11:58:41下载
- 积分:1