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parametersfbs123
Particle Smoothing Expectation Maximization Procedure
- 2011-01-16 02:01:47下载
- 积分:1
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Power-Load-Forecasting-Model
Elman神经网络的数据预测—电力负荷预测模型研究(Elman neural network data prediction- Power Load Forecasting Model)
- 2013-07-11 09:30:55下载
- 积分:1
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neg_n_thre
Negetive & Tresholding of an image
- 2013-05-21 16:51:28下载
- 积分:1
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music
说明: 采用music算法进行谱峰搜索,并在不同信噪比、阵元数等情况下观察性能(MUSIC algorithm is used to search the spectrum peak)
- 2021-03-23 13:36:23下载
- 积分:1
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MATLAB
为《结构分析的有限元法与MATLAB程序设计》一书的源代码。(As a " structural analysis of finite element method and MATLAB program design," a book' s source code.)
- 2010-07-24 23:52:13下载
- 积分:1
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Mashood-Ahmad-(070332)Okumura-Hata-Model
Okumura hata model
power against frequencies
- 2011-05-04 19:28:18下载
- 积分:1
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CPP_with_Matlab.pdf
It is for interfacing matlab with c++
- 2012-04-16 20:35:10下载
- 积分:1
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zhang
自编matlab的张正友标定方法,双目视觉的一种灵活标定方法(Zhang s calibration method based on Matlab)
- 2011-06-30 09:52:03下载
- 积分:1
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shapletsurf
Function reconstructs an estimate of a surface from its surface normals by correlating the surface normals with that those of a bank of shapelet basis functions. The correlation results are summed to produce the reconstruction. The sumation of shapelet basis functions results in an implicit integration of the surface while enforcing surface continuity.
Note that the reconstruction is only valid up to a scale factor (which can be corrected for). However the reconstruction process is very robust to noise and to missing data values. Reconstructions (up to positive/negative shape ambiguity) are possible where there is an ambiguity of pi in tilt values. Low quality reconstructions are also possible with just slant, or just tilt data alone. However, if you have full gradient information you are better off with the Frankot Chellappa algorithm below.
- 2012-05-28 12:11:57下载
- 积分:1
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复数ICA
实现复数信号的盲源分离, 输入N条通道的混合信号,输出N条源信号(blind signal seperation)
- 2021-01-17 11:48:49下载
- 积分:1