登录
首页 » matlab » bragg-fiber

bragg-fiber

于 2012-06-25 发布 文件大小:1KB
0 212
下载积分: 1 下载次数: 20

代码说明:

  在层状光子晶体中,由于折射率不同,能量分布不同,此程序用于模拟此效果(Layered photonic crystals, due to the different refractive index, energy distribution, this procedure is used to simulate the effect of)

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • Signals_and_Systems_with_MATLAB_Computing_and_Sim
    Signals_and_Systems_with_MATLAB_Computing_and_Simulink_Modeling provides the basic knowledge of how to further utilize the signal processing via MATLAB. Illustrations and graphical figures are of simplification to the reader understanding as well.
    2011-09-15 20:25:48下载
    积分:1
  • random_sequence
    生成(0,1)随机序列,白噪声。生成M序列。(Generating (0,1) random sequence, the white noise. Generate an M-sequence.)
    2013-09-26 20:08:26下载
    积分:1
  • ringresonator_fsr
    this mfile is for FSR (F-P) about ringresonator
    2012-03-31 11:14:45下载
    积分:1
  • pv_array
    system photovoltaic sous matlab
    2012-05-10 06:42:47下载
    积分:1
  • CHAP4_2
    采用二次型性能指标学习算法的PID控制程序,欢迎下载。(The use of quadratic performance index of the learning algorithm PID control procedures, please download.)
    2009-06-05 15:58:29下载
    积分:1
  • BPSK
    BINARY PHASE SHIFT KEYING
    2014-08-20 17:35:44下载
    积分:1
  • poincaresection
    it is a matlab code for doing a poincare section to reduce a flows dimension and making a map
    2014-12-19 01:43:27下载
    积分:1
  • main
    Quadratic Thresholding and Auto-Adaptive LUM Filter
    2013-10-24 19:30:17下载
    积分:1
  • fuliye-Laplace
    通过Fourier与Laplace逆变换,把时域图变成频域图,增强信号的可视性。(Through the inverse transformation of Fourier and Laplace, the time domain diagram is transformed into frequency domain graph to enhance the visibility of the signal.)
    2020-07-20 19:58:47下载
    积分:1
  • adaboost_version1b
    最经典AdaBoost实现,适合初学,有大量详细的注释,容易理解(This a classic AdaBoost implementation, in one single file with easy understandable code. The function consist of two parts a simple weak classifier and a boosting part: The weak classifier tries to find the best threshold in one of the data dimensions to separate the data into two classes-1 and 1 The boosting part calls the classifier iteratively, after every classification step it changes the weights of miss-classified examples. This creates a cascade of "weak classifiers" which behaves like a "strong classifier" 。)
    2020-12-17 16:59:11下载
    积分:1
  • 696516资源总数
  • 106432会员总数
  • 11今日下载