计算机工程与应用
計算機工程與應用
계산궤공정여응용
COMPUTER ENGINEERING AND APPLICATIONS
2013年
10期
232-234
,共3页
语音信号%稀疏分解%匹配追踪%果蝇优化算法
語音信號%稀疏分解%匹配追蹤%果蠅優化算法
어음신호%희소분해%필배추종%과승우화산법
speech signal%sparse decomposition%Matching Pursuit(MP)%Fruit Fly Optimization Algorithm(FOA)
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.
信號的稀疏錶示在信號處理的許多方麵有著重要的應用,但稀疏分解計算量十分巨大,難以產業化應用.利用果蠅優化算法實現快速尋找匹配追蹤(MP)過程每一步的最優原子,大大提高瞭語音信號稀疏分解的速度,算法的有效性為實驗結果所證實.
신호적희소표시재신호처리적허다방면유착중요적응용,단희소분해계산량십분거대,난이산업화응용.이용과승우화산법실현쾌속심조필배추종(MP)과정매일보적최우원자,대대제고료어음신호희소분해적속도,산법적유효성위실험결과소증실.
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.
