登录
首页 » matlab » WT-ddencmp

WT-ddencmp

于 2013-04-12 发布 文件大小:3KB
0 180
下载积分: 1 下载次数: 20

代码说明:

  对MATLAB中给出的信号进行默认阈值与软阈值的小波去噪(Signal given in the MATLAB default threshold and soft threshold wavelet de-noising)

文件列表:

WT ddencmp.doc,15360,2013-04-12

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

  • Adaboost
    matlab代码,用来实现adaboost算法的代码,具体的该算法的实现还需要进行一些细节的修改,确保程序的正确运行。(matlab achieve adaboost funtion)
    2015-02-05 10:12:18下载
    积分:1
  • TDMS_readTDMSFile
    利用MATLAB读取TDMS文件,尤其是读取LabVIEW数据,十分方便。(Reads TDMS file and does minimal processing to obtain output)
    2016-12-22 15:33:04下载
    积分:1
  • RcrIJADE
    说明:  利用RcrIJADE差分进化算法提取光伏电池模型的未知参数(extract the unknown parameters of solar cell model using RcrIJADE)
    2021-03-03 11:49:59下载
    积分:1
  • mimo_ppt
    it is a power point presentation regarding capacity and analysis Multi input multi output system
    2011-01-18 00:03:09下载
    积分:1
  • B-topic-MATLAB
    北京大学2001年数学建模B题MATLAB算法 判断癌症的经典模型算法(Beijing university in 2001, mathematical modeling B topic MATLAB algorithm of classical model algorithm judge cancer )
    2011-05-01 19:54:08下载
    积分:1
  • CircConv
    circular convolution
    2012-11-15 20:00:39下载
    积分:1
  • NCSCIT01_086_1815459
    Feature Extraction from eeg
    2013-12-29 02:07:36下载
    积分:1
  • imgsteg
    this is the research doc for mp3 stegnography
    2011-01-15 15:06:08下载
    积分:1
  • NewK-means-clustering-algorithm
    说明:  珍藏版,可实现,新K均值聚类算法,分为如下几个步骤: 一、初始化聚类中心 1、根据具体问题,凭经验从样本集中选出C个比较合适的样本作为初始聚类中心。 2、用前C个样本作为初始聚类中心。 3、将全部样本随机地分成C类,计算每类的样本均值,将样本均值作为初始聚类中心。 二、初始聚类 1、按就近原则将样本归入各聚类中心所代表的类中。 2、取一样本,将其归入与其最近的聚类中心的那一类中,重新计算样本均值,更新聚类中心。然后取下一样本,重复操作,直至所有样本归入相应类中。 三、判断聚类是否合理 采用误差平方和准则函数判断聚类是否合理,不合理则修改分类。循环进行判断、修改直至达到算法终止条件。(NewK-means clustering algorithm ,Divided into the following several steps: A, initialize clustering center 1, according to the specific problems, from samples with experience selected C a more appropriate focus the sample as the initial clustering center. 2, with former C a sample as the initial clustering center. 3, will all samples randomly divided into C, calculate the sample mean, each the sample mean as the initial clustering center. Second, initial clustering 1, according to the sample into the nearest principle clustering center represents the class. 2, as this, take the its recent as clustering center of that category, recount the sample mean, update clustering center. And then taking off, as this, repeated operation until all samples into the corresponding class. Three, judge clustering is reasonable Adopt error squares principles function cluster analysis.after clustering whether reasonable, no reasonable criterion revisio)
    2011-04-06 20:45:56下载
    积分:1
  • ECG-detection
    检测心电. 输入为ECG的时域的数字离散化序列,输出检测到的R波数量,绘制.(detection of ECG.)
    2012-05-24 15:04:03下载
    积分:1
  • 696516资源总数
  • 106446会员总数
  • 9今日下载