登录
首页 » matlab » IIR

IIR

于 2011-11-11 发布 文件大小:15753KB
0 206
下载积分: 1 下载次数: 29

代码说明:

  IIR滤波器设计,用matlab语言设计一个矩形二维IIR低通数字滤波器程序(IIR filter design with matlab language to design a rectangular two-dimensional low-pass digital IIR filter program )

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

  • youhua
    人工智能课的一些作业,对选人工智能这门课的有很大帮助(Artificial Intelligence course some of the work on artificial intelligence selection of great help for this class)
    2010-09-03 17:00:44下载
    积分:1
  • iris编练习
    说明:  KNN分类练习,有100数据,进行简单的KNN练习(KNN classification exercise, 100 data, simple KNN exercise)
    2020-12-20 17:39:09下载
    积分:1
  • DigitalWatermarking
    一种数字水印技术的研究与应用,采用MATLAB编程(A digital watermark technology and applications programming using MATLAB)
    2009-05-14 19:37:22下载
    积分:1
  • cluster-codes
    there are some clustering codes of matlab.
    2011-06-05 11:22:07下载
    积分:1
  • NDG
    POWER quality improvement using statcom
    2014-09-07 20:48:27下载
    积分:1
  • OCR
    matlab code for Optical Character Recognition (OCR)
    2015-02-03 16:00:02下载
    积分:1
  • LS
    OFDM系统中信道估计基于LS改进算法--基于DFT的信道估计算法实现(LS channel estimation in OFDM system based on the improved algorithm based on DFT channel estimation algorithm )
    2020-07-05 19:28:58下载
    积分:1
  • fs_sup_relieff
    Relief算法中特征和类别的相关性是基于特征对近距离样本的区分能力。算法从训练集D中选择一个样本R,然后从和R同类的样本中寻找最近邻样本H,称为Near Hit,从和R不同类的样本中寻找最近样本M,称为Near Miss,根据以下规则更新每个特征的权重: 如果R和Near Hit在某个特征上的距离小于R和Near Miss上的距离,则说明该特征对区分同类和不同类的最近邻是有益的,则增加该特征的权重;反之,如果R和Near Hit在某个特征上的距离大于R和Near Miss上的距离,则说明该特征对区分同类和不同类的最近邻起负面作用,则降低该特征的权重。(The correlation between feature and category in Relief algorithm is based on distinguishing ability of feature to close sample. The algorithm selects a sample R from the training set D, and then searches for the nearest neighbor sample H from the samples of the same R, called Near Hit, and searches for the nearest sample M from the sample of the R dissimilar, called the Near Miss, and updates the weight of each feature according to the following rules: If the distance between R and Near Hit on a certain feature is less than the distance between R and Near Miss, it shows that the feature is beneficial to the nearest neighbor of the same kind and dissimilar, and increases the weight of the feature; conversely, if the distance between R and Near Hit is greater than the distance on R and Near Miss, the feature is the same. The negative effect of nearest neighbor between class and different kind reduces the weight of the feature.)
    2018-04-17 14:41:55下载
    积分:1
  • OFDM
    OFDM simulation by using Matlab
    2010-08-05 21:23:52下载
    积分:1
  • 00654018(2)
    an article about a dvr simulation
    2011-05-11 05:02:51下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载