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main
自适应中值滤波程序,对于大部分图片都能使用。(Adaptive median filtering procedures, can be used for most of the pictures.)
- 2015-03-22 22:08:30下载
- 积分:1
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LMSEPPerceptron-Approach
使用C和Matlab编程实现感知器算法和最小平方误差算法,并且区分给定的10000个样本(C and Matlab programming Perceptron algorithm and least square error algorithm, and to distinguish between a given sample 10000)
- 2015-04-16 15:33:15下载
- 积分:1
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全部的边缘检测算法matlab编程
模拟数据分析处理的过程,重要参数的提取,最终的权值矩阵就是滤波器的系数,数学方法是部分子空间法,通过matlab代码,对于初学者具有参考意义。
- 2022-03-24 14:09:53下载
- 积分:1
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ANIM
APPLICATION SMART ANTENNA 2
- 2010-06-05 17:53:03下载
- 积分:1
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creatdtmf
基于MATLAB的双音多频信号DTMF的生成。(MATLAB-based dual-tone multi-frequency DTMF signal generation.)
- 2008-05-23 16:35:03下载
- 积分:1
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Jpeg_code_decode
MATLAB图像压缩JPEG编解码算法,多种参数对比,代码详细实现JPEG编解码标准算法(MATLAB codec JPEG image compression algorithm, multi-parameter comparison, the code in detail to achieve the standard JPEG codec algorithm)
- 2008-06-10 20:52:40下载
- 积分:1
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SAR-MATLABtoolbox
一本适合于合成孔径雷达成像技术的matlab程序设计资料,包含详细的matlab程序,中间步骤和图像(SAR image formation toolbox for MATLAB)
- 2014-11-24 21:10:10下载
- 积分:1
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Steering___auto_parking_simulation
利用matlab模拟汽车泊车过程,用plot画出了整个过程(Use matlab simulate car parking process, with plot depicts the entire process)
- 2015-06-07 15:52:16下载
- 积分:1
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the-implementation-of-the-SVD
svd算法的实现,用matlab实现SVD算法(the implementation of the SVD algorithm)
- 2021-03-10 09:49:26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