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source
白噪声 –单位冲激信号 –正弦信号 –方波信号 –三角波信号 功率谱(White Noise- unit impulse signal- sinusoidal signal- a square wave signal- triangular wave signal power spectrum)
- 2013-10-29 17:47:43下载
- 积分：1
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AdaptiveWavelet
Adaptive Wavelet Thresholding for Image Denoising and Compression.pdf
- 2013-12-27 23:51:30下载
- 积分：1
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Preisach-model
matlab实现Preisach模型，画出Everett函数以及Preisach平面(- approximate measured hysteresis loops
- simulate arbitrary minor hysteresis loops
- plot the Preisach function, the Everett function, the reversible component)
- 2021-04-19 12:58:52下载
- 积分：1
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MATLAB_gongjuxiang
详细介绍matlab工具箱的使用，介绍的很详细。(Details of the use of matlab toolbox, described in great detail.)
- 2010-12-25 18:13:41下载
- 积分：1
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matlab1
颜色类型转换，GRB与HSI，并将H加30度(Color conversion, GRB with HSI)
- 2009-06-22 12:21:34下载
- 积分：1
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PMSM_vatiablefrequency
PMSM_vatiablefrequency.rar,motor,功率电子领域matlab仿真文件，已经验证过，程序运行正常(PMSM_vatiablefrequency.rar,Power electronics field matlab simulation file, has already been verified, the normal operating procedures)
- 2013-08-26 22:33:50下载
- 积分：1
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motoranalysis
Analysis of Induction motor
- 2014-08-26 17:38:09下载
- 积分：1
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LevelSet_ChunmingLi_1.0
ChunmingLi编写的levelset程序，主要用于图像分割。(ChunmingLi levelset prepared by the procedure used mainly for image segmentation.)
- 2006-11-22 15:50:51下载
- 积分：1
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irr_predict_bp
光伏发电功率主要受太阳辐照度影响，所以准确预测太阳辐照度对光伏功率预测十分重要。程序采用小波分解先对辐照度数据进行分解，然后再用bp神经网络对分解的辐照度数据分别预测，再组合作为最后的预测结果。(Photovoltaic power generation is mainly affected by solar irradiance, so accurate prediction of solar irradiance is very important for photovoltaic power prediction. The program uses wavelet decomposition to decompose the irradiance data, then uses BP neural network to predict the decomposed irradiance data separately, and then combines them as the final prediction result.)
- 2020-08-02 20:08:34下载
- 积分：1
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gradient descent
说明： 梯度下降法是一個一階最佳化算法，通常也稱為最速下降法。 要使用梯度下降法找到一個函數的局部極小值，必須向函數上當前點對應梯度（或者是近似梯度）的反方向的規定步長距離點進行疊代搜索。如果相反地向梯度正方向疊代進行搜索，則會接近函數的局部極大值點；這個過程則被稱為梯度上升法。(The gradient descent method is a first-order optimization algorithm, also commonly referred to as the steepest descent method. To find the local minimum of a function using the gradient descent method, an iterative search must be performed to the specified step distance point in the opposite direction of the gradient (or approximate gradient) of the current point on the function. If the search is reversed in the opposite direction to the positive direction of the gradient, it will approach the local maximum point of the function; this process is called the gradient ascent method.)
- 2019-02-21 23:13:19下载
- 积分：1
