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.
出处
《计算机工程与应用》
CSCD
2013年第10期232-234,共3页
Computer Engineering and Applications
关键词
语音信号
稀疏分解
匹配追踪
果蝇优化算法
speech signal
sparse decomposition
Matching Pursui（tMP）
Fruit Fly Optimization Algorithm（FOA）
