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Pic2Avi
说明： 用MatLab将众多图片文件自动生成avi电影文件(Make a avi file from many picture file using Matlab program)
- 2009-08-15 15:18:16下载
- 积分：1
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fsk
说明： 用与matlab的fsk调制的信号的波形的代码，可以实现仿真(it is fsk)
- 2011-04-08 19:18:18下载
- 积分：1
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Wavelet_analysis_matlab_code
matlab6.5辅助小波分析与 应用教程。共有四章(Wavelet analysis and application of auxiliary matlab6.5 tutorial. A total of four chapters)
- 2010-05-12 22:50:40下载
- 积分：1
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rotateXLabels
matlab code for rotateXLabels( ax, angle, varargin
- 2015-02-05 13:45:26下载
- 积分：1
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K_means
在MATLAB上实现k_means算法，包含k_means算法的思想，和实现方法和程序(In the MATLAB algorithm to achieve k_maens)
- 2009-04-14 21:14:02下载
- 积分：1
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lidar_development
激光雷达资料，包含星载激光多普勒测风雷达发展研究、星载激光雷达的发展与应用、激光雷达原理(Lidar data, including the development of laser Doppler wind radar spaceborne laser Doppler wind radar research,principle of lidar )
- 2012-04-16 19:14:33下载
- 积分：1
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alphaBetaFilter
The function alphaBetaFilter implements a generic algorithm for an alpha-beta filter that is a linear state estimation for position and velocity given an observed data. It acts like a smoothing. Also closely related to Kalman filters and to linear state observers used in control theory. Its principal advantage is that it does not require a detailed system model.
- 2013-09-21 19:02:59下载
- 积分：1
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symst
创建了为主成分分析所需的数据矩阵，并通过主成分分析完成对所得数据的处理。(Analysis of the main ingredients to create the required data matrix, and principal component analysis of the data to complete the deal.)
- 2009-05-12 17:37:39下载
- 积分：1
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PSNR
psnr calculation matlab code
- 2015-03-01 01:56:07下载
- 积分：1
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wzrh
(1)针对在线计算量大这一缺陷，将预测控制中的柔化输出信号的思想推广到柔化输入信号，使得约束条件被简化为仅对当前控制量的约束，可以直接计算得出；同时该方法避免了求逆矩阵，大大减小了计算量，并能够保证控制算法的可行性和良好的控制性能。
(2)针对传统算法中设计参数整定困难这一缺点，应用基于BP神经网络变参数设计的广义预测控制算法，实现了对控制量柔化参数的在线调整。
(3)利用带有遗忘因子的最小二乘法对系统辨识。本文通过仿真发现该方法对于Hénon混沌系统并不完全适用，可考虑利用其他优化系统辨识的方法对本方法进行改进，以期达到更好的辨识效果。
(4)针对系统稳定性分析复杂，本文在控制增量前加入前馈因子，保证所选的Lyapunov函数使闭环系统满足Lyapunov稳定判据，由此证明闭环系统稳定。
(1. To solve the problem of GPC huge computation, algorithm with input increment constraints is presented in which the concept of output softness was used to soften the input increments．As a result, the constraints are simplified to be the only one constraint on the current control increment which can be computed directly. At the same time, it needn’t computing the inverse matrix and thus reduces large computation. Moreover, it guarantees the feasibility of the algorithm and has good control performance．
2. To overcome the difficulty in the choice of tuning parameters in traditional GPC, a GPC algorithm with variable parameter design based on BP neural network. is presented，in which the input softness parameters are tuned on line.
3. In this paper, we Identify system by using the least square method with forgetting factor. However, after system simulation, we realize that this method doesn’t fit the Hénon chaotic system perfectly. So we recommend modify this method by other Optimizati)
- 2013-05-06 21:59:10下载
- 积分：1
