A VSLMS Style Tap-length Learning Algorithm for Structure Adaptation
文献类型：会议论文
| 作者 | Yu, HM ; Liu, ZL ; Li, GS |
| 出版日期 | 2008 |
| 会议名称 | 11th ieee singapore international conference on communication systems |
| 会议日期 | nov 19-21, 2008 |
| 会议地点 | guangzhou, peoples r china |
| 关键词 | Adaptive Filter equalizer structure adaptive fractional tap-length |
| 页码 | vols 1-3: 503-508 |
| 通讯作者 | yu, hm, chinese acad sci, inst semicond, beijing 100083, peoples r china. |
| 中文摘要 | compared 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. |
| 英文摘要 | compared 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.; zhangdi于2010-03-09批量导入; made available in dspace on 2010-03-09t07:08:12z (gmt). no. of bitstreams: 1 258.pdf: 140852 bytes, checksum: 0ebd2e02ecb4a40ccff4e10b0d2df3c8 (md5) previous issue date: 2008; ieee.; [yu, hongmin; liu, zhongli] chinese acad sci, inst semicond, beijing 100083, peoples r china |
| 收录类别 | CPCI-S |
| 会议主办者 | ieee. |
| 会议录 | 2008 11th ieee singapore international conference on communication systems (iccs)
 |
| 会议录出版者 | ieee ; 345 e 47th st, new york, ny 10017 usa |
| 学科主题 | 微电子学 |
| 会议录出版地 | 345 e 47th st, new york, ny 10017 usa |
| 语种 | 英语 |
| ISBN号 | 978-1-4244-2423-8 |
| 源URL | [http://ir.semi.ac.cn/handle/172111/8242]  |
| 专题 | 半导体研究所_中国科学院半导体研究所（2009年前） |
| 推荐引用方式 GB/T 7714 | Yu, HM,Liu, ZL,Li, GS. A VSLMS Style Tap-length Learning Algorithm for Structure Adaptation[C]. 见:11th ieee singapore international conference on communication systems. guangzhou, peoples r china. nov 19-21, 2008. |
入库方式： OAI收割
来源：半导体研究所
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