| 基于Overcomplet ICA的声音压缩模型 |
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| 引用本文： | 江宇闻,黄榕波,朱思铭.基于Overcomplet ICA的声音压缩模型[J].计算机科学,2005,32(4):97-98. |
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| 作者姓名： | 江宇闻 黄榕波 朱思铭 |
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| 作者单位： | 中山大学数学系,广州,510275;广东药学院数学教研室,广州,510224 |
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| 基金项目： | 国家自然科学基金(10371135) |
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| 摘 要： | 独立成分分析(ICA)方法是近几年发展起来的一种新统计方法，旨在将所观测到的多维随机向量转换成统计上尽可能独立的成分。本文基于Overcomplete(过完备)ICA算法(SCO)，提出了一种新的声音压缩模型。我们的实验实现了SCO的混合压缩与分离解压功能。
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| 关 键 词： | Overcomplete ICA 声音压缩 |
Sound Compression Model Based on Overcomplete ICA |
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| JIANG Yu-Wen,HUANG Rong-Bo,ZHU Si-Ming.Sound Compression Model Based on Overcomplete ICA[J].Computer Science,2005,32(4):97-98. |
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| Authors: | JIANG Yu-Wen HUANG Rong-Bo ZHU Si-Ming |
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| Affiliation: | JIANG Yu-Wen,HUANG Rong-Bo,ZHU Si-Ming Department of Mathematics,Sun Yat-Sen University,Guangzhou 510275 Department of Mathematics,Pharmaceutical College,Guangzhou 510224 |
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| Abstract: | ICA is a statistical method for transforming an observed multidimensional random vector into components that are mutually independent as possible. In this paper we introduce Algebra ICA algorithm (AICA) which is the ef- ficient approach to solve Overcomplete ICA algorithm problem. Then we put forward a new sound compression struc- ture based on the Overcomplete ICA algorithm(SCO). Finally we present an experiment on sound signal compression and decompression. |
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| Keywords: | Overcomplete ICA Sound compression |
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