计算机工程与应用Issue(10)：232-234,3.DOI:10.3778/j.issn.1002-8331.1110-0216
语音信号稀疏分解的FOA实现
Speech signal sparse decomposition with FOA
肖正安1
作者信息
- 1. 湖北第二师范学院 物电学院，武汉 430205
- 折叠
摘要
Abstract
Sparse representation of signals has many important applications in signal processing, but the computational burden in signal sparse decomposition process is so huge that it’s almost impossible to apply it to industrialization. In this paper, Fruit fly optimization algorithm is implemented to fast search for optimal atom at each step of Matching Pursuit(MP), and the speed of signal sparse decomposition is improved. The validity of this algorithm is proved by experimental results.关键词
语音信号/稀疏分解/匹配追踪/果蝇优化算法Key words
speech signal/sparse decomposition/Matching Pursuit(MP)/Fruit Fly Optimization Algorithm(FOA)分类
信息技术与安全科学引用本文复制引用
肖正安..语音信号稀疏分解的FOA实现[J].计算机工程与应用,2013,(10):232-234,3.
