登录
首页 » matlab » ech33

ech33

于 2012-10-20 发布 文件大小:1KB
0 227
下载积分: 1 下载次数: 4

代码说明:

  fdtd 1d photonic crystal Band diagram

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

  • DFT
    编写一个matlab函数用一个N点离散傅里叶变换同时计算两个N点实序列的离散傅里 叶变换,并将结果与直接使用两个N点离散傅里叶变换计算出来的结果进行比较(Write a matlab function with an N point discrete Fourier transform and calculate actual sequence of two N point discrete Fourier transform, and the results with the direct use of two N point Discrete Fourier Transform calculated results are compared)
    2010-05-08 11:40:00下载
    积分:1
  • ENG473_project2_s214437
    BCH CODES SIMULATION IN MATLAB
    2011-10-14 22:06:00下载
    积分:1
  • DSP
    用matla实现的关于数字信号处理的功能程序,各个模块的程序使用起来十分方便。(With regard to a digital signal processing function program matla implemented, the program of each module very convenient to use.)
    2014-11-25 09:17:00下载
    积分:1
  • power-allocatin
    在非正交(NOMA)环境下,固定功率分配和树形算法分配的比较,说明树形的优势(In the non-orthogonal (NOMA) environment, relatively fixed power allocation and distribution tree algorithm, explain the benefits of tree)
    2021-03-05 16:09:31下载
    积分:1
  • Bayesiannet
    基于贝叶斯网络的源程序,可用于对数据的分类工作,效果较好(Based on Bayesian network source, the data can be used for the classification of work, better)
    2009-03-21 12:31:51下载
    积分:1
  • SUOXIANG222
    说明:  锁相环的MATLAB SIMULINK编程,可以供研究锁相环的人员使用(MATLAB SIMULINK programming the phase-locked loop, you can study for the use of Phase-Locked Loop)
    2009-08-04 10:26:48下载
    积分:1
  • risk
    基于正态分布下的最小风险Bayes分类器(Minimum risk Bayes classifier based on normal distribution)
    2012-05-10 21:54:44下载
    积分:1
  • GMM GMR代码
    说明:  利用高斯回归进行数据预测,有实例和注释,可供参考学习(Using Gaussian regression to predict data, there are examples)
    2020-07-08 23:28:40下载
    积分:1
  • kernel-ica1_2
    这是核函数独立分量分析KICA的源码和相关程序,希望大家用得上。(This is a kernel independent component analysis of the source KICA and related procedures, I hope everyone useful.)
    2007-11-08 20:42:56下载
    积分:1
  • multiScale_KalmanFilter
    用多尺度卡尔曼滤波法,对信号参数进行识别估计。高频信号和低频信号识别结合起来改进了算法识别的精确度和准确度。(It is an implementation of hierarchical (a.k.a. multi-scale) Kalman filter using belief propagation. The model parameters are estimated by expectation maximization (EM) algorithm. In this implementation, we considered two time series with different frequencies. The messages between high and low frequency signals are combined to improve the estimation and prediction.)
    2013-01-07 20:17:40下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载