CAJ | 학술논문

针对基于特征值分解的 Wigner-Ville 分布信号重构算法运算复杂度高这一问题，该文提出一种高效多分量信号重构算法。首先，通过分析 Wigner-Ville 逆变换公式，推导出瞬时时刻重构序列与原序列之间的联系，提出一种高效的信号重构算法。然后，采用平滑伪Wigner-Ville分布作为时频掩膜抑制Wigner-Ville分布的交叉项，并通过在时频面内滑窗的方法逐一提取各分量信号。最后，结合高效信号重构算法和时频面滑窗掩膜技术，实现多分量信号快速准确重构。仿真实验证明了该算法的有效性和可行性。
침대기우특정치분해적 Wigner-Ville 분포신호중구산법운산복잡도고저일문제，해문제출일충고효다분량신호중구산법。수선，통과분석 Wigner-Ville 역변환공식，추도출순시시각중구서렬여원서렬지간적련계，제출일충고효적신호중구산법。연후，채용평활위Wigner-Ville분포작위시빈엄막억제Wigner-Ville분포적교차항，병통과재시빈면내활창적방법축일제취각분량신호。최후，결합고효신호중구산법화시빈면활창엄막기술，실현다분량신호쾌속준학중구。방진실험증명료해산법적유효성화가행성。
Due to the huge computation for eigenvalue decomposition based signal synthesis method, an efficient multi-component signals reconstruction algorithm is presented in this paper. Firstly, by analyzing the inverse transformation for Wigner-Ville distribution, a fast signal reconstruction is developed using the inherent relationship between original signal and synthesized signal. Then, the smoothed pseudo Wigner-Ville distribution is used as a time-frequency masking to suppress the cross-terms, and the sliding window method in time-frequency plane is adopted to extract signals one by one. Finally, by combining the signal synthesis algorithm and the sliding window masking method, multi-component signals reconstruction can be realized efficiently and accurately. Simulation results demonstrate the effectiveness and feasibility of the proposed algorithm.