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已选条件
  1. 编程语言:matlab
  2. 代码类别:数学计算
  3. 发布时间:一年内
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1. chrip

  信号测量矩阵,如何选取测量矩阵!!!!!!!!!!!(Signal measurement matrix)

5
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153
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2015-12-06发布

2. example

  此程序用最小二乘法拟合椭圆图像,模拟地球的形状(This program fit ellipse images using the least squares method to simulate the Earth' s shape)

3
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180
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2015-12-05发布

3. learn_struct_K2

  本程序是贝叶斯网络结构学习的K2算法程序,可获取离散变量的贝叶斯网络(This procedure is K2 Bayesian network structure learning algorithm program, available discrete variables Bayesian Network)

25
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165
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2015-11-30发布

4. szfx

  数值分析里面的:不动点迭代法、牛顿迭代法、共轭梯度法和最速下降法(Conjugate Gradient)

2
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149
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2015-11-18发布

5. cubic_spline_wavelet_interpolation

  三次样条插值(简称Spline插值)是通过一系列形值点的一条光滑曲线,数学上通过求解三弯矩方程组得出曲线函数组的过程。本函数中采用第一类边界值(Cubic spline interpolation (referred Spline interpolation) through a series of key points of a smooth curve, mathematically by solving the three-moment equations derived curve function group process. This function uses the first boundary value)

5
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168
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2015-11-17发布

6. hot-procssing-map

  改程序可用于绘制热加工图,用于热加工领域(It is a code using for making hot processing maps used to characterize the hot deformation behavior)

21
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203
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2015-10-24发布

7. yangkanglunwen

  对流扩散方程一维的有限差分法,有限元法,特征有限差分法,特征有限元法代码(Convection diffusion equation of one dimensional finite difference method, finite element method, characteristic finite difference method, characteristic finite element method (fem) code)

17
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153
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2015-10-09发布

8. ADC-matlab-

  非常好的源代码,用于ADC FFT的例子(VERY GOOD SOURCE CODE FOR ADC FFT)

51
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212
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2015-10-08发布

9. luoxuanjiang

  螺旋桨唱音信号建模,FFT变换后有明显的谐波(The propeller singing sound signal is modeled, and FFT transformation has obvious harmonic )

11
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266
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2015-08-29发布

10. 多层膜结构的透射率Transsion

  计算多层膜结构的透射率。可以计算各种偏振态,各层膜材料的折射率和厚度及波长等可以自己设置。(multilayered film, transmission, wavelength.)

15
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186
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2015-08-22发布

11. HCgai

  贝叶斯网络结构学习爬山算法的改进方法,更准确(Improved Bayesian network structure learning climbing algorithm, more accurate)

38
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204
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2015-08-20发布

12. total-least-square

  加权总体最小二乘算法在直线拟合拟合的应用,算法为方兴博士论文中的算法1(total least square linear fitting)

41
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190
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2015-08-11发布

13. Sparse-Matrix-SIS

  传统的算法是基于邻接矩阵对网络指标进行计算,而大型网络通过稀疏矩阵保存。本研究编写了可以计算稀疏矩阵的经典传染病SIS模型的程序。(The traditional method is based on network indicators adjacency matrix computing, and large networks through sparse matrix saved. The study prepared by the epidemic SIS model can calculate the classical sparse matrix program.)

9
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146
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2015-07-28发布

14. planetruss

  有限元分析与应用中的程序,用于平面束分析(Finite element analysis and application of the program, for planar beam analysis)

1
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215
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2015-06-30发布

15. sqpm

  用基于拉格朗日函数Hesse矩阵的SQP方法求解约束优化问题(Based on Lagrangian with SQP Hesse matrix method for solving constrained optimization problems)

4
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190
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2015-06-06发布

16. FFTyunyong

  FFT,快速傅立叶变换,求一个信号的幅值和相角,频谱特性(FFT, fast Fourier transform, seeking a signal amplitude and phase angle, spectral characteristics)

13
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268
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2015-03-23发布

17. test_my_polyfit

  代码实现多项式拟合算法(非内置函数)。有较详细的说明。(Polynomial algorithm design (non-built-in function), the source explained in more detail Chinese.)

7
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162
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2015-02-11发布

18. PMET0

  用于计算参考作物蒸发蒸腾量ET0(P-M公式)(Used to calculate the reference crop evaporation transpiration ET0)

15
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140
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2015-01-26发布

19. pump

  用分离变量法求得波动方程傅里叶级数近似解,改程序可画出示功图(Wave equation is obtained by separation of variables method Fourier series approximation solution, the app can show the indicator diagrams)

22
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213
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2015-01-08发布

20. kriging

  包括基本的克里金(Kriging)插值法实现代码,仅实现基本方法部分,不包含扩展克里金方法( kriging uses ordinary kriging to interpolate a variable z measured at locations with the coordinates x and y at unsampled locations xi, yi. The function requires the variable vstruct that contains all necessary information on the variogram. vstruct is the forth output argument of the function variogramfit. This is a rudimentary, but easy to use function to perform a simple kriging interpolation. I call it rudimentary since it always includes ALL observations to estimate values at unsampled locations. This may not be necessary when sample locations are not within the autocorrelation range but would require something like a k nearest neighbor search algorithm or something similar. Thus, the algorithms works best for relatively small numbers of observations (100-500). For larger numbers of observations I recommend the use of GSTAT. Note that kriging fails if there are two or more observa)

50
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237
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2015-01-08发布