语音信号稀疏分解的FOA实现  

Speech signal sparse decomposition with FOA

作　　者：肖正安[1] 

机构地区：[1]湖北第二师范学院物电学院,武汉430205

出　　处：《计算机工程与应用》2013年第10期232-234,共3页Computer Engineering and Applications

摘　　要：信号的稀疏表示在信号处理的许多方面有着重要的应用,但稀疏分解计算量十分巨大,难以产业化应用。利用果蝇优化算法实现快速寻找匹配追踪(MP)过程每一步的最优原子,大大提高了语音信号稀疏分解的速度,算法的有效性为实验结果所证实。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 Pursui（tMP）, 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 

分 类 号：TN911.23[电子电信—通信与信息系统]