登录
首页 » matlab » Notch_Filter

Notch_Filter

于 2009-03-20 发布 文件大小:44KB
0 162
下载积分: 1 下载次数: 4

代码说明:

  an implementation of Notch_Filter in matlab for image processing

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

  • MATLAB
    RS编解码的仿真,对初识RS的可能有所帮助(RS simulation)
    2012-01-09 16:41:49下载
    积分:1
  • shujuyuhanshudkeshihua
    介绍基于MATLAB平台的可视化编程. 重点介绍了数据和函数的可视化.(Introduction Based on MATLAB platform visual programming. Focuses on data and function visualization.)
    2007-08-13 11:31:15下载
    积分:1
  • data_analysis
    matlab 资料,具体是关于数据分析的matlab功能函数,方法的介绍(matlab data, specific data analysis on the matlab function, methods of introducing)
    2009-05-01 17:06:32下载
    积分:1
  • coeflagu
    some diffrent codrsexzsvb
    2011-10-07 02:52:24下载
    积分:1
  • FDTD_2D_TM
    电磁计算中利用FDTD算法的mur吸收边界,数值计算。(FDTD method with Mur ABC)
    2014-12-01 15:09:59下载
    积分:1
  • kuosanequation
    扩散方程的求解,可根据初边值条件解出该方程.(Diffusion equation, initial boundary value according to the equation solved.)
    2010-08-31 18:09:46下载
    积分:1
  • Final-Game
    "Guess The Number" Gae For Beginers.
    2013-12-12 21:10:34下载
    积分:1
  • supclust
    减法聚类的matlab程序,是学习模糊聚类的好东西(Subtractive clustering of Matlab procedures, is a good thing to learn fuzzy clustering)
    2020-09-25 17:07:48下载
    积分:1
  • null_beamform_cf
    MATLAB function that performers delay and sum beamforming on two input signals in the frequency domain.
    2009-09-26 04:24:50下载
    积分:1
  • adaboost_for_matlab
    AdaBoost, Adaptive Boosting, is a well-known meta machine learning algorithm that was proposed by Yoav Freund and Robert Schapire. In this project there two main files 1. ADABOOST_tr.m 2. ADABOOST_te.m to traing and test a user-coded learning (classification) algorithm with AdaBoost. A demo file (demo.m) is provided that demonstrates how these two files can be used with a classifier (basic threshold classifier) for two class classification problem.(AdaBoost, Adaptive Boosting, is a well-known meta machine learning algorithm that was proposed by Yoav Freund and Robert Schapire. In this project there two main files 1. ADABOOST_tr.m 2. ADABOOST_te.m to traing and test a user-coded learning (classification) algorithm with AdaBoost. A demo file (demo.m) is provided that demonstrates how these two files can be used with a classifier (basic threshold classifier) for two class classification problem.)
    2020-10-21 21:17:23下载
    积分:1
  • 696518资源总数
  • 105478会员总数
  • 36今日下载