中国科学院沈阳自动化研究所机构知识库
Advanced  
SIA OpenIR  > 机器人学研究室  > 会议论文
题名:
Maximum length sequence encoded Hadamard measurement paradigm for compressed sensing
作者: Qin SJ(秦书嘉); Bi S(毕盛); Xi N(席宁)
作者部门: 机器人学研究室
会议名称: 2014 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2014
会议日期: July 8-11, 2014
会议地点: Besancon, France
会议录: IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM
会议录出版者: Institute of Electrical and Electronics Engineers Inc.
会议录出版地: New York
出版日期: 2014
页码: 1151-1156
收录类别: EI ; CPCI(ISTP)
ISBN号: 978-1-4799-5736-1
关键词: Artificial intelligence ; Computer programming ; Hadamard matrices ; Hadamard transforms ; Intelligent mechatronics ; Medical imaging ; Spectroscopy
摘要: The development of compressed sensing technology has greatly facilitated its applications in many fields, such as medical imaging, multi-sensor and distributed sensing, coding theory, hyper-spectral imaging, and machine learning. Among these applications, the permuted Walsh-Hadamard matrices are frequently chosen for modeling real-world measurements that are limited to binary entry states by special structure (one typical example is the digital mirror device in singlepixel cameras) because the fast Walsh-Hadamard transform can efficiently calculate its multiplications; however, for a large-scale problem, the Walsh-Hadamard matrix would become unacceptably large to be stored in advance. To eliminate this defect, this paper proposes a maximum length sequence encoded Hadamard measurement paradigm that can be simply realized on chip without any usage of external memory, and proves this method can degenerate to a special permutation of the sequence ordered Walsh-Hadamard matrix so that the fast Walsh-Hadamard transform keeps feasible. Simulations show that compared with the conventional permuted Walsh-Hadamard matrix, the proposed one can emerge from the limit of external memory without losing much randomness performance in the measurement basis required by compressed sensing. © 2014 IEEE.
语种: 英语
产权排序: 1
EI收录号: 20143618126608
WOS记录号: WOS:000346499600192
Citation statistics:
内容类型: 会议论文
URI标识: http://ir.sia.cn/handle/173321/15155
Appears in Collections:机器人学研究室_会议论文

Files in This Item:
File Name/ File Size Content Type Version Access License
Maximum length sequence encoded Hadamard measurement paradigm for compressed sensing.pdf(1373KB)----开放获取View 联系获取全文

Recommended Citation:
Qin SJ,Bi S,Xi N. Maximum length sequence encoded Hadamard measurement paradigm for compressed sensing[C]. 2014 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2014. Besancon, France. July 8-11, 2014.Maximum length sequence encoded Hadamard measurement paradigm for compressed sensing.
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Qin SJ(秦书嘉)]'s Articles
[Bi S(毕盛)]'s Articles
[Xi N(席宁)]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Qin SJ(秦书嘉)]‘s Articles
[Bi S(毕盛)]‘s Articles
[Xi N(席宁)]‘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: Maximum length sequence encoded Hadamard measurement paradigm for compressed sensing.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 © 2007-2017  中国科学院沈阳自动化研究所 - Feedback
Powered by CSpace