摘要
从自适应信号分解的角度提出用可精确覆盖时频平面的局部余弦基分析语音信号精细时频结构的方法。首先使用快速动态规划算法,将语音信号分解成局部余弦基原子的组合,从得到的信号分解原子的Heisenberg盒可以初步提取语音信号的有效时频特征。为了得到更精细的时频结构,再使用MP算法分解,并作出局部余弦基原子的WVD。仿真结果显示MP分解得到原子的WVD不仅有更佳的时频聚集性,而且对二次型时频表示中的交叉项有一定抑制作用。
Based on the principle of adaptive signal decomposition, a method of analyzing the speech signal＇s subtle time-frequency structure using Local cosine bases is proposed. Firstly, the algorithm of fast dynamic programming is used to decompose the signal into Local-cosine atoms which can cover the timefrequency pane accurately; then the Heisenberg boxes, from which the speech signal＇s effective time-frequency characters are extracted, can be obtained. In order to get more subtle time-frequency structures, the MP method is used to get WVD of these Local cosine bases. Simulation result has shown that the later method not only has higher time-frequency resolution, but also has the corresponding restriction effect on the cross-term interference in quadratic time-frequency representation.
出处
《声学技术》
CSCD
北大核心
2008年第3期407-411,共5页
Technical Acoustics
