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kalmansimulation
利用matlab进行kalman滤波的仿真(Carried out using kalman filtering matlab simulation)
- 2007-08-30 16:26:59下载
- 积分：1
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harris-point
harrispoint image is detectiion corener edge
- 2013-04-14 16:46:06下载
- 积分：1
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QPlayCap01
windows打开拍照检索关闭camera的相关函数实现(The camera Function for windows)
- 2015-02-12 09:18:39下载
- 积分：1
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demod_2ask
该程序实现2ask的解调，2ask解调C语言实现(The program 2ask demodulation, 2ask demodulation C language)
- 2013-12-25 19:21:36下载
- 积分：1
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gei-fh84
三相光伏逆变并网的仿真，有详细的注释，计算晶粒的生长，入门级别程序。( Three-phase photovoltaic inverter and network simulation, There are detailed notes, Calculation of growth, entry-level program grain.)
- 2017-03-30 17:52:23下载
- 积分：1
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MPC路径跟踪
说明： carsim与matlab联合仿真，车辆跟踪双移线曲线(Carsim and MATLAB co-simulation, vehicle tracking double lane change curve)
- 2021-04-08 15:09:00下载
- 积分：1
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abfilterandKalmanfilter
本程序给出了ab滤波算法和Kalman滤波算法。
程序以叠加噪声的二维CV运动为例(包含轨迹突变情况)，分别运用了ab滤波算法和Kalman滤波算法
对运动轨迹进行了跟踪，并比较了滤波性能。(This program give the Kalman filter algorithm and ab filter algorithm.
Program uses the two-dimensional noise superimposed exercise as an example CV (including locus mutation), respectively ab filtering algorithm using Kalman filtering algorithm and
Exercise carried out on the track to track, and compare the performance of the filters.)
- 2009-03-31 18:14:56下载
- 积分：1
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ofdm-simulator
simulation of ofdm with diversity
- 2013-03-17 20:01:28下载
- 积分：1
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xiaobo
小波与熵的matlab代码，运行例程，需要的自己改一下(Wavelet and entropy)
- 2013-11-07 15:24:04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
