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machinelearning
机器学习 curse of dimensionality(Machine learning curse of dimensionality)
- 2010-10-25 14:11:30下载
- 积分：1
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localequalisedwindowshift
This code applies local histogram equalization on an input image with a view to improve its contrast ratio. The image is read, converted to grayscale and resized with the inbuilt function of MATLAB. The window size may be changed, however, the window shift is as per size of the window. The output is definitely a better contrast image as compared to the input but checkerboard effect is evident.
- 2010-12-29 06:05:16下载
- 积分：1
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matlab
digital siganal,matlab
- 2010-10-22 04:38:14下载
- 积分：1
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计算多层膜结构的透射率
说明： 计算多层膜结构的透射率，用matlab进行仿真(The transmittance of multilayer membrane structure was calculated and simulated by MATLAB)
- 2020-09-06 19:52:49下载
- 积分：1
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taylortdoainit
定位算法中泰勒级数迭代，其是以最小二乘法为初值的算法(Taylor series iterative positioning algorithm, which is based on least squares algorithm for the initial value)
- 2010-02-09 11:06:50下载
- 积分：1
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STA_COM
STATCOM working model with voltage satbility
- 2013-10-04 01:31:46下载
- 积分：1
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paper2
A novel method of Doppler shift estimation for OFDM systems. Military Communications Conference
- 2015-02-01 12:12:09下载
- 积分：1
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msTracker1
均值漂移跟踪算法的修改程序，包括源代码和调用程序。(Mean Shift tracking algorithm to modify the program, including source code and the calling program.)
- 2013-11-25 21:03:40下载
- 积分：1
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hdir
this code very good for TSOM
- 2010-12-13 13:39:50下载
- 积分：1
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RIV
适当选择辅助变量，使之满足相应条件，参数估计值就可以是无偏一致。估计辅助变量法的计算量与最小二乘法相当，但辨识效果却比最小二乘法好的多。尤其当噪声是有色的，而噪声的模型结构又不好确定时，增广最小二乘法和广义最小二乘法一般都不好直接应用，因为他们需要选用特定的模型结构，而辅助变量法不需要确定噪声的模型结构，因此辅助变量法就显得更为灵活，但辅助变量法不能同时获得噪声模型的参数估计。(Choose appropriate secondary variables, meet the relevant conditions and parameter estimate can be unbiased consistent. Estimated auxiliary variable method calculation and least square method is quite, but the identification effect is much better than the least square method. Especially when the noise is colored, and noise model structure and not sure, augmented the least squares and the generalized least squares method is generally not used directly, because they need to choose specific model structure, and auxiliary variable method does not need to make sure that noise model structure, so the auxiliary variable method is more agile, but not at the same time auxiliary variable method for noise model parameter estimation.)
- 2012-12-28 16:06:51下载
- 积分：1
