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GLCM
segmentation code in image processing
- 2009-03-14 13:34:26下载
- 积分：1
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FFT
Matlab语言写的FFT算法与MATLAN中fft函数对比(Written in Matlab FFT algorithm fft function in comparison with the MATLAN)
- 2010-12-22 11:21:34下载
- 积分：1
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电动私家车的充电负荷计算
电动私家车的充电负荷计算，蒙特卡洛法，电动汽车充电负荷模型(Electric Car Charging Load Calculation, Monte Carlo Method, Electric Vehicle Charging Load Model)
- 2021-04-20 21:08:50下载
- 积分：1
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CSA_bidirectional_
bidirectional CSA(cross search algorithm) for motion estimation
- 2014-10-25 22:54:50下载
- 积分：1
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D-S_funsion
简单的D-S证据理论融合检测方法matlab程序(D-S evidence theory fusion detection method)
- 2021-01-29 09:48:39下载
- 积分：1
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2
说明： 关于matlab的学习内容 matlab学习及其应用(Matlab matlab learning content on the learning and its application)
- 2011-05-29 00:14:59下载
- 积分：1
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matlab
matlab的PPT课件，内容简单易懂，易操作，适合于初学者，自动化方向(matlab software for PPT, the contents of easy-to-read, easy to operate, suitable for beginners, automatic direction)
- 2009-04-01 21:11:20下载
- 积分：1
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Matlab
说明： Matlab 工程数学应用 清华大学出版社 详细介绍了Matlab在高等数学，线性代数，符号运算，图形处理，数据处理方面的应用。(failed to translate)
- 2009-08-26 11:57:31下载
- 积分：1
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RELS
增广最小二乘的递推算法对应的噪声模型为滑动平均噪声，扩充了参数向量和数据向量H（k）的维数，把噪声模型的辨识同时考虑进去。最小二乘法只能获得过程模型的参数估计，而增广最小二乘法同时又能获得噪声模型的参数估计，若噪声模型为平均滑动模型，，则只能用RELS算法才能获得无偏估计。当数据长度较大时，辨识精度低于极大似然法。(Augmented least squares of recursion algorithm corresponding noise model for moving average noise, expanded parameter vector and data vector H (k) of the dimension, the noise model identification and at the same time into consideration. Least square method can only obtain process model parameter estimation, and augmented least squares method at the same time can obtain noise model parameter estimation, if noise model for the average sliding model,, it can only use RELS algorithm to obtain unbiased estimation. When the data length is bigger, the identification accuracy is lower than maximum likelihood method.)
- 2012-12-28 16:00:24下载
- 积分：1
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ANN
基于神经网络的强机动目标跟踪，可以自适应调节机动频率。(Strong based on neural networks maneuvering target tracking, can adaptively adjust maneuvering frequency.)
- 2013-11-16 18:03:25下载
- 积分：1
