Signal Representation Including Waveform Envelope by Clustered Line-Spectrum Modeling
Signal Representation Including Waveform Envelope by Clustered Line-Spectrum Modeling
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通过聚类线谱建模包括波形包络的信号表示
DOI：
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发表时间：
2003
影响因子：
1.4
通讯作者：
M. Tohyama
中科院分区：
文献类型：
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作者：
M. Kazama;Kazuaki Yoshida;M. Tohyama
插值FFT谱记录的峰值周围的离散线性谱建模（CLSM）已被开发用于信号分析和表示，包括信号包络。包括包络的信号波形可以由聚集在谱峰周围的分量表示。峰值处的正弦分量通过峰值拾取来估计，而特别是包络表示所需的聚类分量可以通过在频域中获得最小平方误差（LSE）解来估计，该解最初由Quatieri和Danisewicz以及Maher制定。数值仿真结果表明，CLSM基本算法能够很好地表达语音信号，对窄带语音或脉冲响应型瞬态信号的分析表明，CLSM聚类分量能够很好地表达包含包络的声信号。
Clustered line-spectrum modeling (CLSM) around the peaks of interpolated FFT spectrum records has been developed for signal analysis and representation including the signal envelope. The signal waveform, including the envelope, can be represented by components clustered around spectrum peaks. The sinusoidal components at the peaks are estimated by peak picking, whereas the clustered components required in particular for envelope representation can be estimated by obtaining least-squares error (LSE) solutions in the frequency domain, which was originally formulated by Quatieri and Danisewicz and by Maher. Numerical simulation reveals that the basic CLSM algorithm works well, and a narrow-band speech sample or impulse-response type transient-signal analysis shows that acoustic signals that include envelopes can be expressed quite effectively by using clustered components based on CLSM.