SEMI OpenIR  > 中国科学院半导体研究所(2009年前)
A VSLMS Style Tap-length Learning Algorithm for Structure Adaptation
Yu, HM; Liu, ZL; Li, GS; Yu, HM, Chinese Acad Sci, Inst Semicond, Beijing 100083, Peoples R China.
2008
Conference Name11th IEEE Singapore International Conference on Communication Systems
Source Publication2008 11TH IEEE SINGAPORE INTERNATIONAL CONFERENCE ON COMMUNICATION SYSTEMS (ICCS)
PagesVOLS 1-3: 503-508
Conference DateNOV 19-21, 2008
Conference PlaceGuangzhou, PEOPLES R CHINA
Publication Place345 E 47TH ST, NEW YORK, NY 10017 USA
PublisherIEEE
ISBN978-1-4244-2423-8
AbstractCompared with the ordinary adaptive filter, the variable-length adaptive filter is more efficient (including smaller., lower power consumption and higher computational complexity output SNR) because of its tap-length learning algorithm, which is able to dynamically adapt its tap-length to the optimal tap-length that best balances the complexity and the performance of the adaptive filter. Among existing tap-length algorithms, the LMS-style Variable Tap-Length Algorithm (also called Fractional Tap-Length Algorithm or FT Algorithm) proposed by Y.Gong has the best performance because it has the fastest convergence rates and best stability. However, in some cases its performance deteriorates dramatically. To solve this problem, we first analyze the FT algorithm and point out some of its defects. Second, we propose a new FT algorithm called 'VSLMS' (Variable Step-size LMS) Style Tap-Length Learning Algorithm, which not only uses the concept of FT but also introduces a new concept of adaptive convergence slope. With this improvement the new FT algorithm has even faster convergence rates and better stability. Finally, we offer computer simulations to verify this improvement.
metadata_83[yu, hongmin; liu, zhongli] chinese acad sci, inst semicond, beijing 100083, peoples r china
KeywordAdaptive Filter Equalizer Structure Adaptive Fractional Tap-length
Funding OrganizationIEEE.
Subject Area微电子学
Indexed ByCPCI-S
Language英语
Document Type会议论文
Identifierhttp://ir.semi.ac.cn/handle/172111/8242
Collection中国科学院半导体研究所(2009年前)
Corresponding AuthorYu, HM, Chinese Acad Sci, Inst Semicond, Beijing 100083, Peoples R China.
Recommended Citation
GB/T 7714
Yu, HM,Liu, ZL,Li, GS,et al. A VSLMS Style Tap-length Learning Algorithm for Structure Adaptation[C]. 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE,2008:VOLS 1-3: 503-508.
Files in This Item:
File Name/Size DocType Version Access License
258.pdf(137KB) 限制开放--Application Full Text
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Yu, HM]'s Articles
[Liu, ZL]'s Articles
[Li, GS]'s Articles
Baidu academic
Similar articles in Baidu academic
[Yu, HM]'s Articles
[Liu, ZL]'s Articles
[Li, GS]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Yu, HM]'s Articles
[Liu, ZL]'s Articles
[Li, GS]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

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