基于Chirp原子MP分解的汉语声母时频结构分析  

Chinese initials time-frequency structure analysis based on Chirp atoms MP decomposition

作　　者：董帅飞[1] 于凤芹[1] 

机构地区：[1]江南大学物联网工程学院,江苏无锡214122

出　　处：《计算机工程与应用》2014年第1期200-202,266,共4页Computer Engineering and Applications

基　　金：国家自然科学基金(No.61075008)

摘　　要：针对汉语声母语音呈现的非平稳特性,提出一种基于Chirp原子MP分解的汉语声母时频结构分析方法。实验仿真结果表明,该方法与直接WVD相比,无交叉项干扰,与Gabor原子分解相比,在重构声母信号90%能量情况下,不仅更加准确地提取了声母的时频特征参数,且采用原子个数和耗费时间分别为Gabor原子分解的30.77%和24.53%,证实了该方法的优越性。According to the non-stationary characteristics of Chinese initials. A Chinese initials time-frequency structure analysis method based on the Chirp atoms Matching Pursuit（MP）decomposition is proposed. Simulation results show that compared with the direct Wigner-Ville Distribution（WVD）, the new method has no cross-terms;compared with the Gabor atoms decomposition, when the reconstruction initials signal energy reaches 90%, it can extract the initials time-frequency characteristic parameters more accurate, and the number of atoms used and time-consuming in the new method account for 30.77%and 24.53%of Gabor atoms decomposition respectively, confirming the superiority of the method.

关 键 词：汉语声母 匹配追逐(MP) Chirp原子 时频结构 MATCHING Pursuit(MP) 

分 类 号：TN912.3[电子电信—通信与信息系统]