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matlab_files

于 2011-06-12 发布 文件大小:77KB
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  here is the matlab files for image array processing

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  • dijkstra
    算法解决的是有向图中单个源点到其他顶点的最短路径问题(Algorithm to solve it is to map a single source point to the other vertices of the shortest path)
    2011-11-20 16:16:25下载
    积分:1
  • mat-dlf
    空气质量降维B-P神经网络评价法及其MATLAB实现 简介: 用主成分分析将多维空间的样本数据降维到低维空间,将其作为BP网络的输入。BP网络的算法采用LM优化法。描述了该网络的MATLAB程序语言实现过程。(Air quality dimension reduction BP neural network uation method on MATLAB Introduction: Using principal component analysis will drop the sample data in multidimensional space dimension to low-dimensional space, as the input of BP network. BP network algorithm using LM optimization method. The network describes the MATLAB programming language implementation process.)
    2015-03-19 23:06:29下载
    积分:1
  • finiteDifferenceNumericalSimulationProgramOfLayerM
    Ⅰ层模型声波波场数值的有限差分模拟程序,利用有限差分方法,对声波在地下的传播进行模拟(Ⅰ layer model acoustic wave finite difference numerical simulation program using finite difference method, the spread of sound waves in the ground to simulate)
    2009-11-06 16:15:55下载
    积分:1
  • 1DFDTD_waveguide
    Demonstrates 1-D FDTD initial state formation. Please edit the FLAGS for demonstration of different cases. BASED ON "1-D Digital Waveguide Modeling for Improved Sound Synthesis".(Demonstrates 1-D FDTD initial state forma tion. Please edit the FLAGS for demonstration o f different cases. BASED ON "1-D Digital Wavegu ide Modeling for Improved Sound Synthesis. ")
    2007-05-06 16:35:18下载
    积分:1
  • New-folder1
    MiMO radar performance
    2014-09-30 19:25:13下载
    积分:1
  • PV_fangdian
    使用matlab软件搭建出来的光伏电池放电模型,波形很理想(Using matlab software to build out solar battery discharge model is ideal waveform)
    2013-11-03 11:17:23下载
    积分:1
  • emd1
    经验模式分解程序(matlab)可以对输入信号进行经验模式分解(Empirical mode decomposition process (matlab))
    2009-04-13 17:57:26下载
    积分:1
  • 2dgaussian210
    2维曲面拟合,gauss or gabor 函数(Functions to fit a 2D Gaussian or 2D Gabor to a surface. The routines are automatic in the sense that they do not require the specification of starting guesses for the model parameters. This is done by evaluating the quality of fit (sum of squared error) for many different choices of parameters then refining the most promising set of params through least-squares (exhaustive search followed by refinement). Least-squares is statistically equivalent to maximum likelihood estimation of the model parameters on the assumption of independent, normally distributed Gaussian noise in the observations (pixels). autoGaussianSurf(xi,yi,zi) fits a Gaussian,)
    2012-08-15 12:59:33下载
    积分:1
  • harmfreq_MOLRT_VAD
    the code file that is uploded is harmfreq file
    2014-01-02 17:51:02下载
    积分:1
  • Classify
    classification with showing the test and observation
    2009-07-13 18:09:19下载
    积分:1
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