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SOAL-B
MATLAB SIMULATION EXAMPLE
- 2014-10-29 15:27:07下载
- 积分：1
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edge-detection
word里包含matlab程序代码与处理效果，从原理上实现了图像的边缘检测，效果理想(matlab code word contains the treatment effect, to achieve image edge detection in principle, the desired effect)
- 2014-02-25 00:02:04下载
- 积分：1
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matlabch07
说明： matlab数据和函数的可视化,快速进入matlab神奇殿堂(matlab data and visualization functions, fast access to the magic matlab Hall)
- 2008-12-06 00:24:34下载
- 积分：1
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LTE_sim_main
基于matlab的LTE接收系统仿真与实现(LTE Simulation)
- 2020-12-02 11:19:26下载
- 积分：1
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MatLab
车牌识别，很有用的啊。包括提取车牌和神经网络训练(License Plate Recognition, ah useful. Including the extraction plate and neural network training)
- 2007-10-17 15:59:55下载
- 积分：1
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MATLAB-femmatlab
用MATLAB实现的一些有限元程序，共有113个(Use MATLAB to achieve some of the finite element program, a total of 113)
- 2009-11-25 13:40:20下载
- 积分：1
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MATLAB
matlab script for convolution of two triangle signal pulses
- 2009-12-31 19:22:32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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zhuangtaizhuanyi
传递函数转换为状态方程的通用程序，编程环境为matlab(Transfer function into the general program for the equation of state)
- 2012-06-09 10:20:27下载
- 积分：1
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YUANZHEN
MATLAB实现圆环阵方向图，方位角为九十度，以及最大峰值旁瓣电平(MATLAB realize the circle array pattern, an azimuth of ninety degrees, and the maximum peak side-lobe level)
- 2015-11-11 20:30:40下载
- 积分：1
