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lab5-6
DANE RADIAL MATLAB RVFL System will automatically delete the directory of debug and release, so please do not put files on these two directory.
- 2012-05-05 20:14:57下载
- 积分：1
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main
一段图像处理matlab代码，对于图像处理很有用哦。。。。。(A matlab image processing code, for image processing is very useful oh.....)
- 2013-12-27 20:39:44下载
- 积分：1
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shunshipinlv_LFM
产生线性调频脉冲信号和他的瞬时频率提取函数波形图，非常适合初学者学习研究的有用算法，有详细注释(Produce a chirp signal and his instantaneous frequency extraction function waveform, which is well suited for beginners to study the useful algorithms of study, with detailed notes)
- 2017-04-14 16:56:47下载
- 积分：1
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double-inverted-pendulum
现代控制理论的课程设计。内容是二级倒立摆的源码，仿真等(Curriculum design of modern control theory. Content is the source of double inverted pendulum, simulation, etc.)
- 2011-05-01 12:41:37下载
- 积分：1
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Optimal-State-Estimation(m)
最优状态估计，包括卡尔曼滤波、H_inf、UKF(optimal state estimation)
- 2014-09-13 21:41:38下载
- 积分：1
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relax
RELAX算法，参数化谱估计（线谱）_RELAX方法(RELAX algorithm, parametric spectral estimation (line spectrum) _RELAX method)
- 2021-01-17 15:28:45下载
- 积分：1
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YALMIP
YALMIP优化方法基于MATLAB的优化软件包，m文件(YALMIP A OPTIMIZATION TOOLBOX BASED ON MATLAB)
- 2011-11-17 12:09:41下载
- 积分：1
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Gilbert-Strang3
gilbert strang matlab Computational Science and Engineering
- 2013-11-10 20:13:11下载
- 积分：1
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randomSensing
random spectrum sensinh is the aim of this mfile.
- 2012-01-29 15:54:09下载
- 积分：1
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针对风电场短期风速的预测提出一种基于小波变换的组合预测方法 Wind-Speed-Combined-Prediction
针对风电场短期风速的预测提出一种基于小波变换的组合预测方法。首先利用Mallat 算法对短期风速时间序列进行db3 小波三层分解与重构，得到短期风速时间序列的近似分量和细节分量。针对近似分量和细节分量的不同特性，对近似分量利用粒子群算法优化的最小二乘支持向量机进行预测，对细节分量利用自回归求和滑动平均模型进行预测。最后各预测模型预测值组合叠加得到最终的短期风速预测值。仿真结果表明该方法具有较高的预测准确度。(In order to improve short-term wind speed prediction accuracy of wind farms，a combined prediction method based on the wavelet transform is proposed. Firstly，the db3 wavelet is used for three-layer decomposition and reconstruction for short-term wind speed time series through Mallat algorithm. The approximation components and the detail components of the short-term wind speed are then obtained. Next，according to the different characteristics of these components，the least square support vector machine optimized
by particle swarm algorithm and the autoregressive integrated moving average model are adopted as the predictivemodels for the approximate components and the detail components respectively. Then，the final predictive value of the short-term wind speed is obtained by the combination of the two components. The simulation results indicate that higher accuracy can be obtained in this prediction method.)
- 2016-12-23 10:12:27下载
- 积分：1
