中国科学院沈阳自动化研究所机构知识库
Advanced  
SIA OpenIR  > 光电信息技术研究室  > 专利
专利名称: 基于模糊小波包分解的小波特征提取方法
其他题名: Method for extracting wavelet characteristic based on blur wavelet bag disintegrating
作者: 李德强; 史泽林
所属部门: 光电信息技术研究室
专利权人: 中国科学院沈阳自动化研究所
专利代理: 沈阳科苑专利商标代理有限公司
专利国别: 中国
专利类型: 发明
专利状态: 失效
摘要: 本发明属于信号处理和模式识别技术,具体公开一种基于模糊小波包分解的小波特征提取方法,取平稳信号或非平稳信号为信号样本,包括对已标明类别的信号样本的训练过程和新未知类别的信号样本的特征提取过程,以训练过程为主体;即通过训练过程找最优小波分解Ω*;以最优小波分解Ω*为基础,提取鉴别能力强的小波系数特征;在新未知类别样本的特征提取过程中提取已定位的小波系数作为最终特征。采用本发明对平稳或非平稳信号(包括剧烈变化信号)进行处理,提取出鉴别力强的小波系数特征,使同类信号的类内距尽量小,而不同类信号之间的类间距尽量大,最终实现平稳或非平稳信号的分类。
英文摘要: The invention pertains to the signal treatment and pattern recognition technique. Particularly speaking, the invention discloses an extraction method for wavelet features based on fuzzy wavelet-packet decomposition by taking stationary signals or non-stationary signals as signal samples, comprising the training process to signal samples, the category of which is marked, and the extraction process to new signal samples, the category of which are unknown the training process is taken as main treatment process through the training process to find optimum wavelet decomposition Omega<*>, and based on the optimum wavelet decomposition Omega<*> to extract wavelet coefficients features with high identification performance in the feature extraction process of the unknown category samples, the located wavelet coefficients are extracted as final features. By adopting the invention to treat the stationary signals and non-stationary signals (including violent changing signal) and extract wavelet coefficient features with strong identification performance, the distance of signals within the same category is made as small as possible, while, the distance of signals of different categories is made as large as possible thereby, the classification of stationary signals and non-stationary signals are finally achieved.
优先权数据: CN20061134752
是否PCT专利:
申请日期: 2006-12-13
公开日期: 2008-06-18
授权日期: 2013-10-15
专利申请号: CN200610134752.2
公布/公告号: CN101201901A
语种: 中文
产权排序: 1
内容类型: 专利
URI标识: http://ir.sia.cn/handle/173321/13478
Appears in Collections:光电信息技术研究室_专利

Files in This Item: Download All
File Name/ File Size Content Type Version Access License
CN200610134752.2.pdf(1755KB)专利--开放获取View Download

Recommended Citation:
李德强,史泽林. 基于模糊小波包分解的小波特征提取方法. CN101201901A. 2008.
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[李德强]'s Articles
[史泽林]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[李德强]‘s Articles
[史泽林]‘s Articles
Related Copyright Policies
Null
Social Bookmarking
Add to CiteULike Add to Connotea Add to Del.icio.us Add to Digg Add to Reddit
文件名: CN200610134752.2.pdf
格式: Adobe PDF
所有评论 (0)
暂无评论
 
评注功能仅针对注册用户开放,请您登录
您对该条目有什么异议,请填写以下表单,管理员会尽快联系您。
内 容:
Email:  *
单位:
验证码:   刷新
您在IR的使用过程中有什么好的想法或者建议可以反馈给我们。
标 题:
 *
内 容:
Email:  *
验证码:   刷新

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.

 

 

Valid XHTML 1.0!
Copyright © 2007-2016  中国科学院沈阳自动化研究所 - Feedback
Powered by CSpace